Enterprises hire me when their Looker instance is broken, their LookML is unmaintainable, or their team can't deliver dashboards fast enough. I build and manage Looker platforms on BigQuery and Snowflake — 15 years in BI, the last 5 focused entirely on Looker. I managed Upwork’s own Looker platform for nearly 3 years — data modeling, dashboarding, administration, embedding, automations, and governance for their Finance Systems org on Snowflake. 𝐂𝐨𝐦𝐦𝐨𝐧 𝐋𝐨𝐨𝐤𝐞𝐫 𝐛𝐮𝐢𝐥𝐝𝐬 (what enterprises actually use daily) → Finance & revenue reporting (P&L, billing, ARR/MRR, cash flow) on Snowflake or BigQuery → Operational KPI dashboards with drill-down: executive → department → team → individual → Marketing attribution & funnel analytics (GA4, CRM, ad platforms into Looker via Fivetran) → SaaS metrics (cohort retention, churn, LTV, CAC) with LookML semantic layer → Embedded Looker analytics (SSO embed, Looker API) for customer-facing products → Tableau → Looker, Power BI → Looker full migrations with dashboard recreation 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐦𝐲 𝐋𝐨𝐨𝐤𝐌𝐋 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 → DRY LookML: extends, refinements, object inheritance — no copy-paste models → Explore design: access filters, always_filter, sql_always_where for row-level security → PDTs and incremental PDTs tuned for performance → Liquid parameters and templated filters for dynamic dashboards → Data tests and LookML validation in CI/CD → Git workflow: feature branches, PR reviews, dev → staging → prod → Looker admin: user provisioning, content management, performance monitoring → Embedding: SSO embed, private embed, API-driven customer-facing analytics → Automations: scheduled deliveries, alerts, System Activity monitoring → Conversational analytics: Looker + LLM for natural language exploration 𝐏𝐫𝐨𝐨𝐟 → Upwork’s Looker platform ~3 years: modeling, admin, embedding, automations, governance on Snowflake. 1,072 hrs, 5.0 ⭐ → 1,323 hrs for enterprise client: rebuilt Looker instance, optimized dashboards, migrated Redshift → Snowflake, trained team on LookML → Migrated GumGum’s Looker from Redshift to Snowflake → 20+ enterprise Looker implementations across fintech, insurance, healthcare, ecommerce, SaaS, travel, media → ~100 co-dev sessions with client Looker teams → $400K+ earned, 7,000+ hrs, 100% JSS, Expert-Vetted (top 1%) 🔹 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 → 𝐂𝐨𝐫𝐞 𝐋𝐨𝐨𝐤𝐞𝐫 𝐃𝐞𝐯 — LookML modeling, explores, PDTs, caching, Looker API, embedded analytics, dashboards → 𝐋𝐨𝐨𝐤𝐞𝐫 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐌𝐠𝐦𝐭 — Admin, governance, user provisioning, content lifecycle, performance monitoring. Monthly retainer → 𝐂𝐨-𝐃𝐞𝐯 𝐒𝐞𝐬𝐬𝐢𝐨𝐧𝐬 — ~100 delivered. 60-min live pairing on YOUR LookML codebase. We ship code every session → 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐔𝐬𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 — Self-service explores, dashboards, scheduling, conversational analytics. 20+ enterprise teams trained → 𝐋𝐨𝐨𝐤𝐞𝐫 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 — Tableau/Power BI/MicroStrategy → Looker. Source audit, schema mapping, LookML generation, validation 🔹 𝐀𝐈 𝐓𝐨𝐨𝐥𝐛𝐨𝐱 Custom MCP servers that let AI agents interact with Looker, BigQuery, Snowflake: → AI-automated LookML code reviews → Tableau → Looker migrations 10x faster via MCP + AI → AI-generated Looker documentation → Natural language → LookML/SQL → Conversational analytics: Looker + Claude AI 🔹 𝐃𝐚𝐭𝐚 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬 → BigQuery and Snowflake (primary), Redshift, PostgreSQL → dbt / Dataform for transformations → Fivetran / Stitch / Airbyte for ingestion → Looker Studio for GA4, Google Ads, Google Sheets reporting 🔹 𝐁𝐞𝐬𝐭 𝐟𝐢𝐭 → Enterprises needing LookML development, Looker platform management, or team upskilling → Companies migrating from Tableau/Power BI/MicroStrategy to Looker → Teams wanting a Looker expert who can also serve as Fractional CDO 🔹 𝐍𝐨𝐭 𝐚 𝐟𝐢𝐭 → One-off builds with unclear requirements or no warehouse → Looker Studio-only projects under $1K → Full-time roles — I work fractional or project-based 𝐍𝐞𝐱𝐭 𝐬𝐭𝐞𝐩 Message me: your Looker challenge, warehouse (BigQuery/Snowflake), and team size. I’ll reply with a 1-page action plan + estimate.

I Stop $200k AI Failures | Data Auditor & Strategy for High‑Growth SaaS Most AI initiatives are expensive hallucinations. I am the reason yours will not be. The average SaaS company wastes $200k+ on AI projects that fail because of data silos, missing feature stores, and untrusted reporting. You do not need more code. You need an architect who can tell you why your infrastructure is about to collapse under the weight of your own ML models. Why I am different (and why enterprise clients hire me) I am a CA (Chartered Accountant) Finalist turned Senior Technical Auditor. I speak the language of the CLI and the CFO. I do not just build. I audit for ROI, scalability, and technical friction before you spend a dollar. Battle‑tested results from recent engagements Infrastructure Audit: Saved a fast‑growing SaaS from a $200k AI dead‑end by identifying critical data silos between Product, Marketing, and Finance. The fix cost less than 5% of the planned budget. Friction Removal: Shaved weeks off an ML platform onboarding by finding and fixing "invisible" proxy authentication issues that senior engineering teams had missed for months. Workflow Strategy: Architected AI‑driven marketing workflows that balance automation with human‑in‑the‑loop brand integrity. The result: 22% higher conversion without degrading customer trust. What I actually do for you AI Readiness Audits – I stop the bleeding before you commit six figures to a foundation that is cracked. Onboarding Friction Analysis – I simulate your developer or user experience to find the $50k drop‑off points that kill adoption. Data Strategy & Feature Stores – I build the reporting layers and real‑time infrastructure that actually matter to your CFO and your product team. Why a CA Finalist does data engineering Numbers tell the truth when code lies. I have audited financial statements, chased down reconciliation gaps, and built analytics systems that serve C‑suite stakeholders at Getz Pharma, Emirates Telecommunication, and Alibaba‑backed Daraz. That background means I ask different questions. Not "can we build it" but "should we build it and how do we measure success." Enterprise credentials you will not find in most profiles Microsoft Fabric Community Super User (Season 1, 2022). 80,000+ article views on Power BI, Fabric, and Copilot published on the official Microsoft community blog. Invited member of the Microsoft Fabric User Panel, contributing directly to product development with Microsoft engineering teams. Certified: Azure Data Engineer Associate (DP‑203), Azure AI Engineer Associate (AI‑102). Renewed 2024. Recent client feedback (real, not generic) "He delivered a focused 4‑page audit that saved us weeks of guesswork. His top 5 friction points were spot on, especially the proxy authentication issue we had not prioritised. The fix‑this‑first recommendation alone was worth the fee." – AI/ML Developer Platform, May 2026. 5.0 rating. "I am really impressed with the AI‑driven marketing workflow strategy. The way you have identified key points where AI can add value shows a strong understanding of both marketing fundamentals and modern tools." – Marketing AI Strategy, April 2026. 5.0 rating. Technical stack grouped by impact, not buzzwords Impact Areas: AI Strategy, Technical Due Diligence, Data Architecture, ROI Analysis, Onboarding Friction. Data Engineering & BI: Azure Data Factory, Synapse Analytics, Snowflake, Databricks, Microsoft Fabric (OneLake, Lakehouse, Warehouse, Medallion), Power BI (DAX, M, Composite Models, DirectLake), Tableau, Looker Studio. ETL & Pipelines: Apache Airflow, dbt, Python, PySpark, SQL (Advanced), Delta Lake. Cloud & Infrastructure: Azure, AWS (S3, Glue, EMR, Lambda), Snowflake, Alibaba Cloud. AI/ML Implementation: LangChain, OpenAI API, Azure AI Services, RAG Systems, Vector Databases, Prompt Engineering. I bridge AI capabilities to practical business outcomes. How I work (selective and direct) I am selective with my time. If you are looking for the cheapest developer, I am not your guy. If you are looking for the expert who ensures your $200k investment actually delivers, we should talk. Fixed‑price or milestone‑based. No hourly traps. I will tell you when your idea is not ready for AI. That honesty has earned me repeat enterprise clients. Every engagement includes a post‑delivery walkthrough and a written handoff document. No ghosting. Stop guessing. Start auditing.

Senior Data Architect trusted by NASA, the UN, and Mayo Clinic. I design and build production-grade data platforms, real-time streaming pipelines, and scalable analytics solutions. From high-throughput ETL/ELT pipelines to enterprise-scale data lakes, I build secure foundations for modern business intelligence and AI agents with a flawless 100% Job Success rate. If you are looking for a basic SQL scriptwriter, I am not the right fit. I specialize in complex digital transformation, big data architecture, and cost-optimized cloud infrastructure built for enterprise-scale reliability. 🚀 PROVEN CREDIBILITY * Enterprise Portfolio: Trusted to architect mission-critical data ecosystems for NASA, the United Nations, GE, Alstom, Mayo Clinic, Kaiser Permanente, United Health, and Certainti.ai. * Flawless Performance: 100% Job Success Score with consistent 5-star validation from technical stakeholders and data leaders. * AI-Ready Infrastructure: Expert at structuring raw, fragmented data into highly optimized vector data stores and clean pipelines ready for enterprise AI deployment. 📊 ENTERPRISE DATA ENGINEERING SERVICES * End-to-End Data Platforms: Architectural design and execution of data warehouses, modern data lakes, and centralized lakehouses from MVP to production scale. * Robust ETL/ELT Pipelines: Designing automated, resilient, and optimized data movement workflows to eliminate data silos. * Real-Time Data Streaming: Deploying low-latency, real-time data ingestion and processing layers for instant business insights. 🛠️ TECHNICAL CORE & CLOUD ECOSYSTEM * Cloud Data Warehouses: Snowflake, AWS Redshift, Azure Synapse, Microsoft Fabric, OneLake. * Big Data & Streaming: Apache Spark, PySpark, Apache Kafka, Databricks. * BI & Analytics: Power BI, Tableau, advanced data modeling, and robust data governance frameworks. Let’s connect to discuss how we can optimize your data infrastructure for scale, speed, and AI readiness.

20-year AI, Data and BI engineer and enterprise strategist who has architected, built, sold, and delivered data solutions , with top individual awards at five consecutive technology giants. ⏤ 𝗖𝗮𝗿𝗲𝗲𝗿 𝗔𝘄𝗮𝗿𝗱𝘀 ⏤ #1 Quota Carrier & Top SE, Fivetran ('23–'24) Best Partner Trainer, Databricks ('25) BD SE of the Year, Qlik Top BD SA, Databricks ('19) Employee of the Year & President's Club, Attunity ('18) Sales Academy Winner & Big Data Black Belt, Oracle IU Young Alumni of the Year ('12) ⏤ 𝐂𝐚𝐫𝐞𝐞𝐫 𝐏𝐚𝐭𝐡 ⏤ ▸ Fivetran / dbt Labs — Sr. Solutions Engineer & ERP CoE Lead. #1 quota carrier two years running. Closed $2.5M annual deal for the 5th largest global hedge fund. Architected cloud migrations for hundreds of Fortune 500 accounts into Snowflake, Databricks, and BigQuery. ▸ Speedboat.pro — Principal Architect & Databricks Training Partner of the Year ('25). 100+ training engagements across ML, data engineering, deep learning, and GenAI for Fortune 100 clients. ▸ Qlik — Principal Solutions Architect. Built SAP Digital Decoupling program generating $40M in referred business. 2x Data+AI Summit speaker. ▸ Databricks — Sr. Solutions Architect. Built CoEs across 86 C&SI partners. Team hit 300% quota Q1 2019, sourced $8.4M in Q4. Onboarded ~10,000 partner consultants. Key wins: T-Mobile, CVS Health, Walmart. ▸ Attunity — Director of Technology Solutions. Co-authored NiFi for Dummies (1M+ copies, $14M in referrals). Employee of the Year 2018 and President's Club. ▸ Oracle — Sr. Sales Consultant, Top 3 ranked SE. Core to billion-dollar EULA closings at GM, Ford, P&G. ▸ Domino's Pizza — BI & DW Architect. Led Netezza-to-Hadoop replatforming; Store Hours analysis returned $10M in savings. ▸ IMC Financial Markets — DBA. Built 50TB SQL Server HPC environment; $280M increase in trading volume. ▸ Halo BI — Chief Product Evangelist. Led first million-dollar deals at a supply chain analytics vendor later acquired for $85M. ⏤ 𝗗𝗮𝘁𝗮𝗠𝗮𝗿𝘁𝘇: 𝗙𝗼𝘂𝗻𝗱𝗲𝗿 & 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗮𝗹 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 (2007–𝗣𝗿𝗲𝘀𝗲𝗻𝘁) ⏤ 19-year consulting practice serving IRS, Apple, Chevron, Coca-Cola, and 35+ enterprise clients. Wrote curriculum for Microsoft, Amazon, Google, IBM, Cloudera, and Qlik. 10,000+ professionals trained. Key engagements: ▸ IRS Modernization (Deloitte, Booz Allen, IBM) — Databricks SME Lead: Business Master File modernization, EDP/CADE2 pipeline performance tuning. Active Public Trust/MBI clearance. ▸ Molina Healthcare — Lead Databricks Architect. CDC into Azure Databricks with 60+ dynamic schemas from 12 sources. ▸ Campbells — Lead Databricks Engineer. Metadata-driven SAP connector orchestration framework. ▸ Apple Maps (Pluralsight) — SparkML tuning: hyperparameterization, model selection, custom UDFs. ▸ LiveLine Technologies — VP of Engineering. TensorFlow forecasting with online learning and reinforcement agents deployed to production for manufacturing optimization. ▸ Alivia/UST/Colorado BCBS — Full ETL rewrite and NLP taxonomy extraction from unstructured clinical notes for claims fraud detection. ▸ Capgemini/Coca-Cola — Pod Lead for Databricks CoE. Spark ingestion framework and metadata-driven design patterns. ▸ Anaplan — Sr. Product Manager. Product strategy, presales bootcamp, J&J and Arrow workshops. ▸ Nationwide — Customer Journey CDP strategy, journey mapping, and recommendation engine design. ▸ KPMG/Chevron — Master Data Management on Databricks. ⏤ 𝗛𝗼𝗿𝗶𝘇𝗼𝗻𝘁𝗮𝗹 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 ⏤ Data Science & AI: Python, Spark, TensorFlow, ML/AutoML, LLMs, GenAI, Deep Learning, NLP Data Engineering: SQL, dbt, Airflow, Fivetran, Kafka, Kinesis, EventHubs, SSIS, ADF, Glue, DataStage, Talend Databases: PostgreSQL, MS SQL Server, Snowflake, Databricks, Oracle, Teradata, Netezza Cloud: ▸ Azure: Data Factory, Synapse, Purview, AI Foundry, Document Intelligence ▸ GCP: Vertex AI, BigQuery ▸ AWS: RDS, Redshift, DMS, Glue BI & Analytics: Tableau, Looker, Power BI, Qlik Engineering: Python, Java, Scala, .NET, Shell, Git, CI/CD, GitHub Copilot, Cursor Platforms: MDM (Profisee, Riversand), ERP/CRM (SAP, Salesforce, Dynamics) ⏤ 𝗩𝗲𝗿𝘁𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 ⏤ Financial Services Healthcare & Insurance Manufacturing & Supply Chain Retail & Consumer Telecommunications Energy & Oil/Gas Federal Government Technology & SaaS ⏤ 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 ⏤ Chief AI Officer: UChicago Booth ('25) Deep Learning: MIT ('24) AI-Driven Computational Design: MIT ('24) Full Stack MERN: MIT ('22) Industry 4.0: MIT ('21) Cybersecurity: UMich ('21) MS Data Science & Analytics: Michigan State ('13) BS Informatics: Indiana University ('06) Databricks Certified Trainer & Professional Data Scientist: Databricks Microsoft Certified Trainer: Microsoft Google Data Engineering Course Author: Google Oracle Cloud Architect & Big Data Black Belt: Oracle

I build end-to-end data platforms — from raw source ingestion through dbt transformation to production dashboards — on Snowflake, BigQuery, Databricks, Sigma Computing, and Looker. One consultant who owns the full stack: ETL pipelines, cloud data warehouse, data modeling, and the BI reporting layer your team actually trusts. Founder of Warehows Analytics. Official partner with Snowflake, dbt, Databricks, and Sigma Computing. 32+ projects delivered across SaaS, e-commerce, fintech, healthtech, cybersecurity, and private equity. Top Rated Plus with 100% client satisfaction. $2.3M+ saved in client infrastructure costs. Stack: Snowflake, BigQuery, Databricks, dbt, Airflow, Fivetran, Airbyte, Hevo, Sigma Computing, Looker, Power BI, Superset, Streamlit, Python, SQL, FastAPI What I have delivered: - Fortune 500 — Oracle to Snowflake migration. 10M+ records/day CDC pipelines. Query times down 85%, costs down 60%. - $50M e-commerce brand — unified Google Ads, Facebook, email, and organic data. Single attribution model. ROAS from 3:1 to 7:1. - Finance SaaS (finsightsai.tech) — multi-tenant embedded analytics on Snowflake + Sigma serving 80+ customers. Sub-second queries. Built end to end: ingestion, dbt models, UI, LLM-powered insights. - Multi-brand e-commerce (4 brands) — Shopify, WooCommerce, QuickBooks, and ad platforms consolidated into Databricks + Looker. +65% marketing ROI. 80% less reporting time. - Cybersecurity startup — BigQuery warehouse consolidating Salesforce, RB2B, and product data. dbt-modeled attribution resolved three conflicting definitions of "converted lead." - Creative & PR agency — 50K+ customer reviews processed. AI sentiment analysis. Sigma dashboards. Client onboarding from 6 weeks to 1 week. - Veterinary clinic group — manual Excel to live cross-clinic dashboards. Airbyte + Airflow + dbt + Snowflake + Sigma. 10x faster onboarding. - Energy PE firm — Snowflake Cortex Analyst. Natural-language queries over sensitive portfolio data. - eMarketer — Snowflake reporting replacing 3-week manual Excel process. Runs daily, untouched. Services: - Cloud data warehouse design (Snowflake, BigQuery, Databricks) - ETL/ELT pipelines (Fivetran, Airbyte, Hevo, custom Python) - dbt transformation with testing, documentation, and semantic layer - BI dashboard development (Sigma, Looker, Power BI, Superset, Streamlit) - Embedded analytics for SaaS products (multi-tenant, row-level security) - Marketing attribution and revenue reporting - Data migration from legacy systems (Oracle, Talend, on-prem) - AI/LLM integration (RAG, conversational analytics, Cortex Analyst) Why this matters: data projects fail when nobody owns both ends. The pipeline engineer builds what was specified. The analyst reports what was delivered. Nobody checks whether either matches what the business needed. I hold the full picture — from raw source to executive dashboard — so the numbers your team sees are the numbers your finance team agreed to. Every model has tests. Every pipeline has monitoring. Every dashboard traces to a definition settled before the first chart was built. Send me a message. I respond the same day. Top Rated Plus · 32+ Projects · Snowflake Partner · dbt Partner · Databricks Partner · Sigma Computing Partner

Get reliable data pipelines, trusted dashboards, and a single source of truth your team can actually use. I’m a Senior Data Engineer and BI Consultant with 9+ years of experience designing, building, and maintaining modern data platforms across AWS, GCP, Microsoft Fabric, Power BI and Data Studio. I help businesses move from scattered files, broken pipelines, slow reports, and unreliable dashboards to clean, automated analytics systems that support faster and better decision-making. I specialize in cloud data engineering, data warehousing, lakehouse architecture, dbt transformations, and business intelligence solutions that are production-ready, scalable, and easy to maintain. 𝐇𝐞𝐫𝐞’𝐬 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐃𝐨 𝐅𝐨𝐫 𝐘𝐨𝐮: ✅ Design and build automated data pipelines across AWS, GCP, and Microsoft Fabric. ✅ Build modern data warehouses and lakehouses using Redshift, BigQuery, Databricks, Synapse, S3, and Apache Iceberg ✅ Develop clean transformation layers using dbt, SQL, PySpark, Python, and Power Query. ✅ Implement reliable data models using Kimball Multi-Dimensional Modeling, and Data Vault 2.0 ✅ Build streaming pipeline using Amazon MSK, and Kafka ✅ Build executive dashboards in Power BI, Looker Studio, Tableau, Excel, and Google Sheets. ✅ Improve slow reports, broken pipelines, poor data quality, and unreliable analytics workflows. ✅ Document systems clearly so your team can understand, maintain, and scale them. 𝐒𝐤𝐢𝐥𝐥𝐬 𝐓𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫: ➡️ Cloud Data Engineering: AWS, GCP, Microsoft Fabric, Azure ➡️ Data Warehousing: Redshift, BigQuery, Snowflake, Synapse Analytics ➡️ Data Lakes & Lakehouse: Amazon S3, ADLS, GCS, Delta Lake, Medallion Architecture ➡️ Data Transformation: dbt, SQL, Python, PySpark, Pandas, Power Query ➡️ Orchestration & Automation: Airflow, AWS Glue, Azure Data Factory, Cloud Dataflow ➡️ BI & Analytics: Power BI, Looker Studio, Excel, Google Sheets ➡️ Data Modeling: Kimball, Data Vault 2.0, Star Schema, Semantic Layers 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐔𝐬𝐞: Power BI, Looker Studio, dbt, Python, SQL, PySpark, Airflow, AWS Glue, AWS DMS, Lambda, Redshift, Athena, BigQuery, Snowflake, Microsoft Fabric, Azure Data Factory, Synapse Analytics, Amazon S3, ADLS, GCS, GitAction, CI/CD. 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐂𝐚𝐧 𝐄𝐱𝐩𝐞𝐜𝐭: ✅ Clean, automated data pipelines ✅ A reliable single source of truth ✅ Fast SQL and Python processing ✅ Dashboards that are clear, useful, and adopted by the business ✅ Strong data quality, testing, and documentation ✅ Clear communication and dependable delivery ✅ A complete BI package, not just another dashboard Whether you need a new pipeline, a scalable data warehouse, a lakehouse, a dbt project, a Power BI dashboard, or a full end-to-end analytics system, I can help you design it properly and deliver it with confidence. Send me a message with your current data challenge, and let’s discuss how to turn it into a reliable analytics solution.

Building data systems that don't just work—they perform at scale. With over 15 years of experience, I bridge the gap between complex data engineering and business-critical insights. Whether you are dealing with 200k+ RPS high-load environments or building a Modern Data Lakehouse from scratch, I architect solutions that are cost-effective and future-proof. What I bring to your project: - High-Scale/High-Load Expertise: Proven track record in building real-time pipelines (Flink, Spark, Kafka) that handle massive throughput with sub-second latency. - Modern Lakehouse Architecture: Specialist in implementing Delta, Hudi, and Iceberg to provide ACID transactions on top of scalable cloud storage. - Performance OLAP: Deep expertise in ultra-fast query layers using StarRocks, ClickHouse, and SingleStore to slash BI dashboard wait times. - Enterprise Governance: Deploying OpenMetadata and dbt to ensure your data is clean, documented, and ready for LLM/AI applications. 🛠️ Tech Stack & Ecosystems - Processing & Streaming: Apache Flink, Spark, Kafka (Streams/Connect), NiFi, Polars. - Lakehouse & Storage: Hudi, Iceberg, Delta Lake, Databricks, Apache Hadoop. - High-Performance DBs: StarRocks, ClickHouse, Vertica, SingleStore, Oracle. - Cloud & Orchestration: AWS, GCP, Azure, Kubernetes (K8s), Airflow, Prefect. - Analytics Engineering: dbt, BigQuery, CRM/Ads Integration, Medallion Architecture. Why work with me? I don't just "install" tools. I design systems that optimize for Compute Cost (FinOps) and Data Reliability. If your current infrastructure is lagging or your cloud bills are spiraling, I can audit your stack and implement a high-performance alternative. Ready to scale? Let’s talk about your data architecture.

🤖 I design AI systems · Workflow Automation · cloud data platforms & reporting architecture for companies that need reliable operations instead of disconnected tools As an AI Solutions Architect I connect n8n · Make · Zapier · Microsoft Power Automate · OpenAI API · Claude API · Azure OpenAI · Python · REST API · Webhooks · databases · Snowflake · Azure Data Warehousing & Power BI My work combines three layers AI Automation Data Integration Cloud Architecture I help when a team has manual processes between CRM platforms · ClickUp · Airtable · HubSpot · Notion · Google Sheets · internal tools · databases · APIs & reporting systems I design the full path from business process to Workflow Automation to API Integration to Database Integration to AI Agent Development to Error Handling and Monitoring to Dashboard Automation Typical projects include ▪ AI Agent Development for internal operations · support · analytics · document processing · knowledge search & repetitive tasks ▪ n8n AI Agents connected to OpenAI API · Claude API · Azure OpenAI · LangChain · Supabase · REST API · Webhooks & company data ▪ RAG Systems · AI Chatbots · Conversational AI & company knowledge workflows ▪ AI Workflow Automation for approvals · notifications · enrichment · validation · routing · synchronization · reporting & human review ▪ Business Process Automation with n8n · Make · Zapier · Microsoft Power Automate · Google Apps Script & Python ▪ CRM Automation · ClickUp Automation · lead routing · task creation · pipeline updates · reminders & reporting ▪ API Integration · Third-Party Integration · Data Integration · Database Integration · REST API workflows & custom Webhooks ▪ ETL Automation · Data Extraction · Data Transformation · Scheduled Workflows · monitoring · recovery logic & documentation ▪ Power BI Automation · Dashboard Automation · Automated Reporting · KPI logic · Data Modeling & reporting-ready databases I do not choose a tool before understanding the process n8n supports flexible Workflow Automation · self-hosted systems · custom logic · AI Agent Development & complex API Integration Make supports fast business integrations · visual workflows · SaaS connections · CRM Automation & operational prototypes Python supports Workflow Automation that requires custom algorithms · advanced Data Transformation · scale · testing or deployment control Before development I define business rules · workflow states · data ownership · access permissions · human approvals · exception handling · monitoring · retries · audit logic · deployment structure & reporting requirements A strong AI solution needs trusted data · secure Database access · clear Solution Architecture · reliable API Integration · controlled Workflow Automation · monitoring · documentation & measurable business output My architecture background includes Azure Data Warehousing · Snowflake Database · Azure Data Factory · Azure DevOps · Databricks Platform · Microsoft Azure SQL Database · Microsoft SQL Server · ETL · Data Modeling · Business Intelligence & Microsoft Power BI For Azure projects I design Azure Cloud Architecture · Azure Data Warehousing · Azure Data Factory pipelines · Azure DevOps delivery · CI/CD · Terraform · Git · deployment control & Azure OpenAI integration For Snowflake projects I work with Snowflake Database architecture · Snowflake Data Warehousing · Data Integration · ETL Automation · dbt workflows · reporting layers · access logic · performance review · cost control & Power BI connectivity One enterprise Azure engagement included scalable multi-tenant architecture · strict data isolation · Azure Databricks processing · infrastructure cost reduction & multilingual Power BI reporting Another long-term engagement expanded from Power BI reporting into automated data validation · incremental refresh · data reliability improvements & third-party service integration I connect AI Automation to the data foundation I connect reporting to reliable ETL and Database Architecture I work across Automation Architecture · Solution Architecture · Cloud Architecture · Cloud Data Architecture · Database Architecture · AI Solution Architecture & AI Data Architecture If your AI Agent cannot access trusted company data I can design the Data Integration and Database Integration layer If your Workflow Automation fails without visibility I can add Error Handling and Monitoring · retries · alerts · audit logic & recovery workflows If your reporting depends on manual exports I can connect ETL Automation · Azure Data Warehousing · Snowflake Database · Power BI Automation & Automated Reporting If your prototype needs to become a production system I can define the Solution Architecture · security model · data flow · deployment process · monitoring structure & technical roadmap Send me your process · tools · data sources & expected outcome 🏆 Wait, you’ve actually made it to the very end! Mention "1 in 100" in your first DM and I will provide a discount😉

⌚ Available from 6am - 11 pm Pacific time 🚀 Skyrocket Your Business with Cutting-Edge AI Solutions! 🚀 🇺🇸🇪🇸 Bilingual I help businesses transform AI from an experiment into a measurable business advantage. Whether you need an AI-powered chatbot, a production-grade RAG system, intelligent automation, predictive analytics, or a scalable machine learning platform. I’ve worked across Generative AI, Data Science, Machine Learning, Analytics, and Data Engineering to help organizations automate workflows, improve decision-making, reduce operational costs, and create new revenue opportunities. What I Can Help You Build 🤖 Generative AI & LLM Solutions * RAG (Retrieval-Augmented Generation) systems * AI Agents & multi-agent workflows * GPT-4, Gemini, Claude, Llama, and Mistral applications * Custom copilots and knowledge assistants * Prompt engineering and model optimization * LLM evaluation, monitoring, and deployment 💬 AI Chatbots & Virtual Assistants * Customer support automation * Internal knowledge assistants * Conversational AI platforms * Dialogflow, Vertex AI, Botpress, and RASA solutions * CRM, API, and database integrations 📊 Data Science & Advanced Analytics * Predictive modeling and forecasting * Customer and business intelligence analytics * Dashboard development (Power BI, Tableau, Looker Studio) * Statistical analysis and experimentation * End-to-end machine learning pipelines 🔁 Data Engineering & Cloud Architecture * ETL/ELT pipeline development * Data warehouses and lakehouses * Snowflake, BigQuery, Redshift, and Databricks * Data quality, governance, and orchestration * Scalable cloud-native architectures 👁️ Computer Vision & NLP * OCR and document intelligence * Image classification and object detection * Sentiment analysis and text mining * Custom NLP workflows and automation Core Technologies AI & ML: OpenAI, GPT-4, Gemini, Claude, Llama, Mistral, LangChain, Hugging Face, TensorFlow, PyTorch Data & Analytics: Python, SQL, Spark, Tableau, Power BI, Looker Studio, dbt Cloud & Data Platforms: AWS, Google Cloud, Azure, Snowflake, BigQuery, Redshift, Databricks If you’re looking for a partner who can bridge business goals with technical execution and deliver production-ready AI solutions, let’s discuss your project.

Most data consultancies fall into one of two camps: strategy firms that hand you a slide deck and walk away, or implementation shops that sit around waiting for you to tell them exactly what to build. Neither works if you're a mid-market company with zero to two data hires. At Data-Sleek, we own the full path from data strategy through AI enablement so you don't have to hire a team to do it well. You shouldn't have to hire a Head of Data just to start. My name is Franck Leveneur. 𝗜 𝗯𝗿𝗶𝗻𝗴 𝟯𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. Since 2018, I've taught Data Management at the UCLA Anderson School of Management for the Master of Science in Business Analytics (MSBA) program. I founded Data-Sleek in 2020 as a boutique consulting firm built around this exact gap in the market. On Upwork, I've earned over $𝟓𝟎𝟎,𝟎𝟎𝟎 𝐚𝐜𝐫𝐨𝐬𝐬 𝟏𝟑𝟗 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝 𝐣𝐨𝐛𝐬. Clients consistently tag my work as "Committed to Quality," "Solution Oriented," and "Clear Communicator." When you work with me, you're not getting a junior freelancer learning on your dime; you're getting a 𝐛𝐚𝐭𝐭𝐥𝐞-𝐭𝐞𝐬𝐭𝐞𝐝 𝐯𝐞𝐭𝐞𝐫𝐚𝐧 who has built data ecosystems for high-growth companies like Numerade, Digital Asset Research, and Johns Hopkins, among 15+ others. ──────── 🚨𝐓𝐇𝐄 𝐏𝐑𝐎𝐁𝐋𝐄𝐌 𝐖𝐄 𝐒𝐎𝐋𝐕𝐄 Your company has data - a lot of it. But: 1. Your systems don't talk to each other (ERP, CRM, EHR, TMS - all siloed) or you don’t know where to start Comment end 2. KPI reporting takes too long, and nobody quite trusts the numbers 3. You want to use AI and predictive analytics, but your data isn't ready 4. You've tried BI tools. You still don't have real answers. This is not a tool problem. It's a foundation problem. And that's exactly what we fix. 🚀 𝐇𝐎𝐖 𝐖𝐄 𝐖𝐎𝐑𝐊 - 𝐓𝐇𝐄 𝐅𝐎𝐔𝐑-𝐏𝐈𝐋𝐋𝐀𝐑 𝐅𝐑𝐀𝐌𝐄𝐖𝐎𝐑𝐊 We guide clients through a structured data journey. You can engage at any stage: 1. Data Strategy (Discovery & Alignment) Data inventories, AI readiness assessments, architecture design, and strategic roadmaps. 2. Data Centralization (Integration & Governance) Single source of truth via Snowflake, BigQuery, or Redshift connected through Fivetran and governed pipelines. 3. Data Transformation (Modeling & Preparation) dbt consulting, semantic layers, and ETL/ELT pipelines that model your data for analysts and AI. 4. Data Activation (Insights, Prediction & AI) BI, Tableau dashboards, predictive analytics, and ML wherein raw data turned into real business outcomes. 🙅🏼‍♂️ 𝐃𝐀𝐓𝐀𝐁𝐀𝐒𝐄 𝐄𝐗𝐏𝐄𝐑𝐓𝐈𝐒𝐄 - 𝐓𝐇𝐄 𝐓𝐇𝐈𝐍𝐆 𝐌𝐎𝐒𝐓 𝐂𝐎𝐍𝐒𝐔𝐋𝐓𝐀𝐍𝐂𝐈𝐄𝐒 𝐂𝐀𝐍'𝐓 𝐃𝐎 Unlike modern data stack consultancies that only know cloud tools, we know how the underlying transactional systems actually work. I have 15+ years as a Senior MySQL DBA and deep expertise across: ➝ MySQL & AWS Aurora ➝ PostgreSQL ➝ ClickHouse ➝ MS SQL Server ➝ SingleStore (formerly MemSQL) Performance tuning, partitioning, replication, and scaling, not just dashboards on top of messy data. 🏭 𝐈𝐍𝐃𝐔𝐒𝐓𝐑𝐈𝐄𝐒 𝐖𝐄 𝐒𝐏𝐄𝐂𝐈𝐀𝐋𝐈𝐙𝐄 𝐈𝐍 ➔ Construction ➔ Healthcare ➔ Higher Education ➔ Insurance ➔ Transportation ➔ SaaS ➔ EdTech ➔ FinTech ➔ Crypto/Web3 ➔ e-Commerce. We have dedicated playbooks, industry-specific data models, and named case studies in each. If your company is in one of these five, we've already solved your problem before. 💯 𝐏𝐑𝐎𝐕𝐄𝐍 𝐑𝐄𝐒𝐔𝐋𝐓𝐒 🏆 Numerade (EdTech): Redesigned database schema and ETL processes - query times dropped from several minutes to sub-second, system outages eliminated, scaled to unlimited concurrent users, subscriber growth followed. 🏆 Digital Asset Research (FinTech/Crypto): Built a real-time ingestion pipeline handling 40 million rows daily (250M+ trades). Client expanded their client base by 600% and captured the largest market share in their category. 🏆 Johns Hopkins (Higher Education): Data warehouse architecture consulting reduced reporting time by 40% and increased data accuracy by 35% within the first year. 💡 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐒𝐒𝐄𝐒𝐒𝐌𝐄𝐍𝐓 - 𝐓𝐇𝐄 𝐑𝐈𝐆𝐇𝐓 𝐖𝐀𝐘 𝐓𝐎 𝐒𝐓𝐀𝐑𝐓 𝐀𝐈 Most AI projects fail because the data foundation underneath them isn't ready; not because AI is hard. If you want predictive analytics, ML models, or intelligent automation, start here: → Fixed-fee engagement · 4-6 weeks · Clear deliverable: which AI use cases your data can support today, and the roadmap to support more. ──────── 🌱 𝐋𝐄𝐓'𝐒 𝐆𝐄𝐓 𝐒𝐓𝐀𝐑𝐓𝐄𝐃 We always start with a free initial consultation to scope the work properly before any engagement begins. Send a message - let's see if we're a fit!