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Most data pipelines don’t fail because of code. They fail because they weren't built for scale. With 8+ years of experience engineering data systems at companies like Microsoft and Coreweave, I help businesses move away from "brittle prototypes" to production-grade, scalable infrastructure. I don’t just move data; I build the "Source of Truth" that leadership and AI systems actually trust. 💬What I Solve for You: Productionizing AI Pipelines: Hardening Python prototypes into scalable RAG and LLM infrastructures (AWS/Azure). ➔Infrastructure-as-Code: Building automated, modular ETL/ELT pipelines that don't require daily manual fixes. ➔The "One-Source" Dashboard: Integrating messy data from APIs, SaaS (Shopify, HubSpot), and DBs into clean Snowflake/BigQuery layers. ➔Performance Recovery: Optimizing slow SQL queries and high-cost cloud warehouses to save you thousands in monthly spend. 🛠 Tech Stack: Languages: Python (FastAPI, Pandas, PySpark), SQL Cloud & Warehousing: AWS (Glue, Lambda, S3), Snowflake, BigQuery, Azure Orchestration: Airflow, dbt, GitHub Actions Data Ops: API Integrations, Vector DBs, Data Validation ✅ Why Me? 8+ Years Experience: I’ve seen what breaks at the enterprise level and how to prevent it in your startup. Speed over Perfection: I focus on shipping high-impact systems that drive revenue, not just technical documentation. Transparent Communication: You get regular updates and a partner who challenges requirements to find better solutions. Ready to clean up your data debt? 📩 Message me for a FREE 15-minute technical consultation. Let’s discuss your architecture and see if I’m the right fit for your system.

𝗜𝘀 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗮 𝗺𝗲𝘀𝘀? 𝗦𝘁𝗮𝘆 𝗰𝗮𝗹𝗺... 𝗜 𝗰𝗮𝗻 𝘁𝘂𝗿𝗻 𝗶𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗮𝗻𝗱 𝗴𝗲𝘁 𝘆𝗼𝘂𝗿 𝗽𝗲𝗮𝗰𝗲 𝗼𝗳 𝗺𝗶𝗻𝗱 𝗯𝗮𝗰𝗸. With over 𝟭𝟴 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 in business intelligence, I lead Dynamic Data and have completed 𝟱𝟬+ 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀. As a Top Rated Plus freelancer and CEO, I specialize in transforming complex data into actionable insights that drive real business results. I offer 𝐒𝐎𝐋𝐔𝐓𝐈𝐎𝐍𝐒: - Fast-Track Your 𝐃𝐚𝐭𝐚 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Launch a modern data stack in under 30 days, tailored to your budget and goals. - Seamless 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Move your data to the cloud securely and efficiently. - 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 the Tedious: Eliminate manual reporting processes and free up valuable time. - 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗲 for Impact: Craft stunning dashboards that tell compelling data stories and inspire action. - 𝗣𝗿𝗲𝗱𝗶𝗰𝘁 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 with Your Data: Harness the power of machine learning for predictive analytics, customer insights, and more. - 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Empower your team to ask questions in plain language and get instant answers from your data. - Tame Your Data Chaos: Establish 𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 to ensure accuracy and consistency across your organization. - Master 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: Gain a unified view of your marketing performance and ROI, with expertise in GA4 and Google Tag Manager. Why Work with Me? ✔️ Satisfaction Guarantee: If you’re not happy in the first two weeks, 𝐭𝐡𝐞𝐫𝐞’𝐬 𝐧𝐨 𝐜𝐡𝐚𝐫𝐠𝐞. 🧏 Flexible Budget: I work with budgets to 𝐟𝐢𝐭 𝐲𝐨𝐮𝐫 𝐧𝐞𝐞𝐝𝐬. 👨‍💻 Versatility: My 𝐭𝐞𝐚𝐦 and I can tackle any data-related challenge. 🥇Proven Success: As a 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 freelancer on Upwork with a 100% job success rate, I consistently receive 𝟓-𝐬𝐭𝐚𝐫 𝐫𝐚𝐭𝐢𝐧𝐠𝐬 for my ability to understand and exceed client expectations. 👔 My Experience: I’ve helped businesses across 𝐯𝐚𝐫𝐢𝐨𝐮𝐬 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬, including B2B web consulting, real estate, retail, waste management, and healthcare, to unlock the full potential of their data. I believe in data’s power to transform businesses. If you’re looking for a long-term, trust-based partnership, I’m eager to collaborate with you! Ready to unlock the hidden value in your data? 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐦𝐞 𝐭𝐨𝐝𝐚𝐲! Expertise: Data Warehouses: Redshift, BigQuery, Snowflake, Databricks BI/Visualization Tools: Looker Studio, Power BI, Tableau, Sigma, Metabase, Superset ETL/ELT: Airflow, Dagster, Stitch, Fivetran, DBT Languages: SQL, Python.

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

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!

I build custom data and AI solutions that fit your business. Not off-the-shelf tools that sort of work. Hands-on, direct communication, full accountability. Projects of any size. A lead-scoring model for Salesforce. Large-scale ETL with Snowflake, Airflow, and Python. Custom analytics applications that answer questions your team actually asks. When projects need more capacity, I tap a trusted network of developers and analysts I've worked with for years. What I build: - AI integrations (RAG, agents, document intelligence, local LLMs) - Data infrastructure (Snowflake, Airflow, dbt, Python) - Custom analytics applications - Cloud architecture (AWS, Azure, GCP) 8+ years. 100% Job Success. Top Rated Plus. Expert Vetted. If you want solutions built for how your business actually works, let's talk.

Cloud Solution Architect with engineering experience in Cloud SQL Big Data technologies including Data Architecture to support various Business Intelligence needs. Solution Architect in Technical Teams on Cloud Data Solutions into various Cubes, Data Marts, and ERP Systems. Developed data structures for business using various Analysis Services Cubes, BI Dashboard, and Scorecards. Recent experiences include developing multiplayer AI Platform with Generative AI using AWS Bedrock for back-office CareManagement application including HealthCare. Implementations included Anthropic Claude model & Twilio Integration for Client Onboarding, Authentication, and Call Flow Management. Cloud Services Database include Snowflake Data Cloud, Azure Cloud, Go/Language (JSON and yaml) with Anaconda python programming. Migrated Data Lakes from on-prem up to SnowFlake using SnowPipe and SnowSQL using command line scripts using AI methods. Implemented standards and data designs for HIPAA, SOX, regulatory, compliance, financial, reporting, and auditing. Next generation AI development with Anthropic Claude Code, ChatGPT, Gemini, etc.