I build production data infrastructure for small to medium-sized businesses — cloud warehouses, dbt modeling, reliable ingestion pipelines, and reporting systems they can actually run their business on. I've worked with performance marketing agencies, DTC e-commerce brands, Shopify agencies, real estate lead-gen companies, SaaS startups, B2B service businesses, media and creator-led agencies, professional services firms, and subscription-based businesses — supporting 7-figure ad budgets, multi-channel attribution setups, financial and operational reporting, and environments where executives make real revenue decisions on the numbers. Accuracy isn't optional in any of those contexts, and that's the bar I build to. Most of the teams I work with come to me after struggling with conflicting KPIs across platforms, fragile "Frankenstein" automations, manual reporting bottlenecks, and dashboards they can't fully trust. What they leave with is a clean, scalable data foundation built for long-term growth — not just another dashboard. Beyond technical depth, I'm a clear communicator with both engineers and non-technical founders. I'll explain why your numbers don't reconcile across platforms in language your CEO understands — and I'll fix it. Services I Offer: → Data Warehouse Architecture: Designing and building production data warehouses on BigQuery, Snowflake, or Postgres — schema modeling, dbt projects, and the foundations that make every dashboard downstream trustworthy. → ETL & Data Pipelines: Replacing fragile Supermetrics/Zapier sprawl with reliable, auto-refreshing ingestion via Airbyte, Fivetran, or custom Python pipelines. Marketing, CRM, revenue, and ops data — unified in one place. → Analytics & Reporting Systems: Building multi-page Looker Studio, Power BI, or Metabase dashboards that read from a modeled warehouse, not raw API pulls — fast, accurate, and reconciled across every report. → AI Systems & LLM Integration: Building production-grade AI systems on top of your data — lead scoring and qualification engines, automated classification and enrichment, AI agents that read from your warehouse and act on it, and Claude/OpenAI-powered workflows that write results back to your CRM, Slack, or reporting layer. → Business Automation & Workflow Engineering: n8n and Make automations that handle data syncing, lead routing, enrichment, internal notifications, and operational workflows — reliably, with monitoring and alerting built in from day one. My core stack and expertise: → Programming Languages: Python (Pandas, Polars, PySpark), SQL, Bash → Data Modeling & Transformation: dbt, SQL, Python — clean staging → intermediate → mart architecture with tests and documentation → Cloud & Warehousing: BigQuery, Snowflake, PostgreSQL, DuckDB, S3 + Delta Lake → Data Ingestion / ETL: Airbyte, Fivetran, Meltano, custom Python connectors → Orchestration: Airflow, Dagster, Mage, Cloud Functions, GitHub Actions → Analytics & Tracking: GA4, Mixpanel, event-based analytics, server-side tracking → Visualization & BI: Looker Studio, Power BI, Metabase, Superset, Tableau → Automation & AI: Make, n8n, Claude API, OpenAI API, LLM-powered workflows → DevOps: GitHub Actions, Docker, Terraform, CI/CD pipelines

I help companies build scalable data platforms that transform fragmented data into actionable insights. With 8+ years of experience in Data Engineering and Analytics, I specialize in designing modern data architectures, building reliable ETL/ELT pipelines, and developing AI-powered data solutions. My expertise includes: ✔ Data Warehousing: BigQuery, Snowflake, Redshift, PostgreSQL ✔ ETL/ELT Pipelines: Airbyte, Fivetran, Airflow, dbt, Python ✔ Cloud Platforms: Google Cloud Platform (GCP), AWS, Azure ✔ Data Modeling & BI: Looker, Power BI, Tableau, Qlik ✔ API & Connector Development: Shopify, Meta Ads, Google Ads, QuickBooks, Amazon SP-API, Sage, HubSpot ✔ AI & Automation: LLM integrations, RAG pipelines, data enrichment agents Recent achievements: • Built a multi-tenant retail analytics platform processing millions of records daily across multiple clients. • Developed custom connectors and automated ingestion pipelines reducing manual reporting effort by 90%. • Delivered marketing analytics solutions integrating data from 20+ advertising and eCommerce platforms. • Designed AI-driven enrichment systems that convert unstructured information into decision-ready datasets. I focus on building production-grade solutions that are scalable, cost-efficient, and easy to maintain. If you need help with data engineering, cloud migration, analytics infrastructure, or AI-enabled data platforms, let's discuss your project.

𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐏𝐲𝐭𝐡𝐨𝐧 · 𝐒𝐩𝐚𝐫𝐤 · 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 · 𝐀𝐢𝐫𝐟𝐥𝐨𝐰 · 𝐊𝐚𝐟𝐤𝐚 | 𝐀𝐈/𝐌𝐋 𝐃𝐚𝐭𝐚 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 | 7+ 𝐘𝐞𝐚𝐫𝐬 I build the data infrastructure that powers AI systems at scale. If your pipelines are slow, brittle, or can't support the ML/AI workloads you're trying to run that's the problem I solve. 7+ years building production data systems across FinTech, HealthTech, E-commerce, Trading Platforms, and B2B SaaS. Not just pipelines that move data pipelines that are reliable, observable, and designed to support machine learning and GenAI workflows from day one. ━━━━━━━━━━━━━━━━━━━━━━ 𝐂𝐨𝐫𝐞: 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 ━━━━━━━━━━━━━━━━━━━━━━ → Scalable ETL/ELT pipeline design and development → Batch and real-time streaming architectures (Spark, Kafka, Airflow) → Data warehouse design and optimization (Snowflake, BigQuery, Redshift) → Data lake and lakehouse architecture (Delta Lake, Databricks) → Data modeling, schema design, and query performance tuning → Data quality frameworks validation, monitoring, and lineage tracking → dbt transformations and modular data modeling → Cloud data platform engineering (AWS, GCP, Azure) ━━━━━━━━━━━━━━━━━━━━━━ 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐭𝐨𝐫: 𝐀𝐈/𝐌𝐋 𝐃𝐚𝐭𝐚 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 ━━━━━━━━━━━━━━━━━━━━━━ Most data engineers build pipelines. I build pipelines that are AI-ready. → Embedding pipelines and vector store ingestion for RAG systems → Feature engineering pipelines for ML model training and serving → Scheduling isolation so AI workloads don't starve core ETL → MLOps data layer experiment tracking, model versioning, data lineage → Production data infrastructure for LLM and GenAI applications ━━━━━━━━━━━━━━━━━━━━━━ 𝐖𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 𝐅𝐨𝐫 ━━━━━━━━━━━━━━━━━━━━━━ → "Our pipelines break and nobody knows why" I build observable, reliable pipelines with alerting and lineage → "We need a data layer that supports our AI product" I design the infrastructure from ingestion to serving → "Our Snowflake/BigQuery costs are out of control" I optimize queries, schemas, and partitioning → "We're moving from batch to real-time" I architect Kafka + Spark streaming systems → "Our data team can't support the ML team's needs" I bridge that gap ━━━━━━━━━━━━━━━━━━━━━━ 𝐒𝐭𝐚𝐜𝐤 ━━━━━━━━━━━━━━━━━━━━━━ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Python · SQL · Apache Spark · PySpark · Apache Kafka · Apache Airflow · dbt · Snowflake · BigQuery · Redshift · Delta Lake · Databricks 𝐂𝐥𝐨𝐮𝐝 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 AWS (S3, Glue, Redshift, SageMaker) · GCP (BigQuery, Dataflow, Vertex AI) · Azure (Data Factory, Synapse) · Docker · Kubernetes 𝐀𝐈/𝐌𝐋 𝐃𝐚𝐭𝐚 𝐋𝐚𝐲𝐞𝐫 MLflow · Weights & Biases · pgvector · Pinecone · LangChain · Feature Stores · Embedding Pipelines 𝐀𝐏𝐈𝐬 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 FastAPI · Flask · REST APIs · Python scripting ━━━━━━━━━━━━━━━━━━━━━━ 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 ━━━━━━━━━━━━━━━━━━━━━━ FinTech · HealthTech · E-commerce · Retail Tech · Stock Trading · Logistics · B2B SaaS

Data Engineer with 8+ years of experience designing scalable ETL pipelines, cloud data warehouses, and BI solutions using Power BI, Looker, Looker Studio and Tableau that turn raw data into reliable, decision-ready insights. I help businesses automate reporting, reduce manual work, and build high-performance analytics on GCP, Azure, and AWS. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: • Expertise in building efficient ETL processes with Apache Airflow, Cloud Composer, and Dataform. • Skilled in GCP, Azure, and AWS, with expertise in key services like BigQuery, Cloud Functions, Synapse, and Redshift for optimized data warehousing • Proficient in data modeling and data transformation with DBT for clean, organized datasets. • Experienced with Docker for containerization and Google Cloud Run for scalable deployments. • Skilled in real-time data processing using Google Pub/Sub and data management with Data Lake. 𝐀𝐏𝐈 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: • Data extraction using Screaming Frog and DataforSEO. • CRM and marketing data integration with APIs like Apollo, HubSpot, and Facebook. • Search analytics expertise with GA4, Google Search Console, and SerpAPI. • Comprehensive API management for seamless, cross-platform data connectivity. 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: • Skilled in Power BI, Looker, and Tableau for creating clear, insightful dashboards. • Proficient in Python for data analysis, statistical modeling, and visualization. • Advanced SQL skills for efficient data querying and manipulation. • Experienced in data preparation and transformation, ensuring high-quality analytics. My strong communication and collaboration skills ensure smooth teamwork and project management. Flexible with working hours, I adapt to meet specific client needs and timelines.

Is your data stack underperforming as you scale? As a Senior Data Engineer and Top-Rated Plus BigQuery Architect (100% Job Success), I turn fragile, tangled ETL/ELT pipelines into streamlined, cost-efficient "single sources of truth." Having built scalable cloud data platforms for YC-backed startups and mid-market enterprises, I specialize in end-to-end Data Warehousing, custom Data Modeling, and automated analytics that drive real-time business insights. 𝗪𝗵𝗼 𝗜 𝗛𝗲𝗹𝗽 I partner with venture-backed startups, SaaS, e-commerce, and enterprise teams looking to replace fragile, manual processes with robust Data Engineering on Google Cloud Platform (GCP) and AWS. If you are struggling with messy GA4 / Google Analytics data, broken REST API integrations, siloed CRMs, or skyrocketing BigQuery compute costs, I fix the foundation so you don't lose time or money. 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗜 𝗦𝗼𝗹𝘃𝗲 • Unstable ETL/ELT Pipelines & Data Migration: I migrate legacy databases and transform fragile data flows into production-grade pipelines using dbt, SQL, Python, and BigQuery, optimizing partitioning and clustering to eliminate pipeline failures and slash compute costs. • Data Modeling & Dashboards: I design scalable star schemas and modeled analytical layers, connecting BigQuery directly to Looker Studio, Power BI, or Metabase for automated executive reporting and real-time KPI tracking. • Automated Ingestion & API Integrations: I build custom Python extractors and configure Airbyte/Fivetran pipelines to seamlessly ingest raw data from third-party REST APIs, GA4 exports, ad platforms, and databases into your warehouse. • Internal Tools & Retool Operations: I build custom Retool and React-based internal apps linked directly to your live data, giving non-technical teams custom dashboards and operational workflows without adding extra hires. • Data Infrastructure to AI Automation: I integrate AI agents, LLMs (OpenAI, Claude, Anthropic, Gemini), and vector search (pgvector, Pinecone) into your BigQuery pipeline to automate document parsing, sentiment analysis, and decision workflows. 𝗧𝗲𝗰𝗵 & 𝗧𝗼𝗼𝗹𝘀 • Core Warehouses & Cloud: Google BigQuery, Google Cloud Platform (GCP), Snowflake, PostgreSQL, AWS • Transformation & Modeling: dbt, Advanced SQL, Analytics Engineering, Data Modeling (Star Schema / Dimensional) • Ingestion & Pipeline Orchestration: Python, Airbyte, Fivetran, Apache Airflow, REST API Integrations, GA4 Exports • Dashboards & Visualization: Looker Studio, Power BI, Metabase, Retool (Certified Partner), React, Bubble • AI & Automation: OpenAI, Claude, Anthropic APIs, Gemini, RAG Architectures, Vector Databases 𝗣𝗿𝗼𝘃𝗲𝗻 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 (Vergo) Built a construction FinTech data platform with BigQuery, dbt, Airbyte, Domain-Driven Design (DDD), and ML-powered forecasting, reducing BI infrastructure costs by 40% while delivering real-time financial reporting and predictive revenue analytics. (Sully.ai) Automated a usage-based billing and data anomaly detection pipeline with Python, BigQuery, Retool AI, OpenAI, Claude, and Anthropic APIs, reducing manual operations by 80% through intelligent workflow automation. (BLI) Built Salesforce analytics dashboards using Retool, SQL/SOQL, Salesforce REST APIs, and React, delivering real-time pipeline analytics, time-in-stage metrics, and interactive executive reporting for sales performance optimization. 𝗟𝗲𝘁'𝘀 𝗧𝗮𝗹𝗸 If you need to eliminate data debt, optimize your BigQuery stack, and build reliable analytics pipelines, let's connect. I am not just a coder. I am your partner in building scalable, data-driven operations.

I build e-commerce data warehouses on BigQuery that your whole team can actually query - clean dbt models, reliable pipelines, and reports that don't break when you add a channel. 10+ years in Data Engineering & Analytics. GCP and AWS certified. I recently built the full production data platform for Wuffes, an $80M US DTC pet supplement brand: - Unifying Shopify, Amazon, Meta, Google Ads, Klaviyo - GA4 into one source of truth. WHAT I BUILD: - BigQuery data warehouses in your own GCP project - DBT/Dataform data modeling: staging to marts, documented and well-named for self-service querying (including AI-assisted querying via MCP) - Scheduled ingestion from GA4, Google Search Console, Shopify, - Amazon SP-API and any third-party API : via custom Python connectors, - Airbyte or Fivetran - Evergreen dashboards in Looker Studio, Looker, Power BI and Tableau - Multi-channel attribution, cohort LTV, CAC vs LTV, contribution margin and retention analysis - Orchestration with Airflow / Cloud Composer, Docker and dbt scheduled runs, with documentation your team can maintain RECENT WORK - WUFFES ($80M DTC BRAND) - Designed and shipped their first production data platform - BigQuery + DBT warehouse feeding subscription LTV and retention analytics the whole company runs on Custom Airflow pipelines for - Amazon that are live in production today Client: "We would happily work with Vishal again." AI + MCP: I set up AI-assisted querying over warehouses using MCP, so your team can ask questions in plain language against clean, documented tables not just stare at dashboards. WHO I WORK BEST WITH - Multi-brand and single-brand e-commerce / DTC operations - Performance marketing teams with disconnected ad and SEO data - Founders building their first real data infrastructure - Teams that want to own and maintain the system after handoff HOW I WORK: I reply within a few hours and overlap several hours with US and EU business hours. You get a written scope up front, well-documented and well-named models, a working demo early rather than a big reveal at the end, and clean handoff docs. No jargon unless you want it. Many clients start with a paid 1-week audit of their current setup before a full build. If your marketing, SEO and sales data is fragmented or "good enough for now," send me a message and tell me what's broken.

Are you struggling with unreliable reports, disconnected data sources or time-consuming manual processes? I help organizations build modern, scalable data platforms using Microsoft Azure, Microsoft Fabric, Databricks, SQL Server, ETL data pipelines, Azure Data Factory and Power BI that deliver accurate reporting, automated workflows, and actionable insights allowing teams to spend less time preparing data and more time making informed business decisions. I'm a Data Architect with 10+ years of experience in Data Engineering and Business Intelligence. Previously, I served as Director of Data Analytics & Reporting for a US health insurance company and have delivered enterprise data solutions to support and enhance operations and business processes. Why Clients Hire Me ✅ 10+ years of Data Engineering & BI experience. ✅ Former Director of Data Analytics at a US Healthcare Company. ✅ Top Rated with 100% Job Success Score. ✅ Delivered production Data Platform solutions for a 39-location healthcare network. ✅ Built enterprise data warehouses and analytics platforms supporting thousands of business users My Approach 🔹Discovery & Requirements Gathering 🔹Architecture & Solution Design 🔹ETL & Data Pipeline Development 🔹Data Modeling & Governance 🔹Power BI Reporting & Visualization 🔹Testing, Documentation & Handover Core Services ✔ Azure Data Engineering ✔ Microsoft Fabric Architecture ✔ Databricks Pipelines ✔ ETL Pipelines (ADF, Python, SQL) ✔ Data Warehouse Design ✔ Power BI Development ✔ Fabric Migration Projects ✔ Data Governance & Documentation ✔ Production Support Clients describe me as responsive, clear, and easy to work with, one wrote that I handled "a complex task involving cross-functional collaboration with multiple teams" and "adapted to changes" without dropping quality. Tell me about your current data platform and where your bottlenecks are. I'll provide a practical approach to modernizing your data architecture and analytics environment.

🌟 Warm Greetings! 👨‍💻 With 7+ years of experience working as a data engineer, my career has been marked by a commitment to mastering the intricacies of data handling, processing, and analysis, ensuring that data is not only accessible but also meaningful and secure. Alongside data engineering, I also work as an AI/LLM engineer, bringing LLM-powered pipelines and automation into the projects I support. 🔍 TECHNICAL EXPERTISE: ⚙️ DATA PROCESSING & MANAGEMENT: Proficient as a data engineer in building and maintaining robust data pipelines using tools like Spark, PySpark, Airflow, Dagster, and DBT, with infrastructure managed via Terraform, Kubernetes, and Docker. 🗄️ DATABASE EXPERTISE: Extensive experience as a data engineer with SQL databases including MySQL, PostgreSQL, and ClickHouse. 📊 BIG DATA TECHNOLOGIES: Skilled as a big data engineer in handling large-scale datasets using Cloudera, Hive, MR2, Spark, and BigQuery. 🏛 DATA WAREHOUSING: Experienced as a big data engineer in designing and maintaining data warehouses on platforms like Snowflake and Google BigQuery. 🐍 PYTHON DEVELOPMENT: As a Python developer, I build with Pandas, Polars, SQLAlchemy, and web frameworks including Flask, FastAPI, and Django. 🤖 AI/LLM ENGINEERING: As an AI/LLM engineer, I work with LLM and LangChain to build intelligent pipelines, including data-cleaning automation and chatbots. 🔧 LIFECYCLE INVOLVEMENT: 🔗 END-TO-END DATA SOLUTIONS: Proficient as a data engineer in creating solutions from data collection and storage to processing and analysis, ensuring high data quality and availability. 🔄 DATA INTEGRATION AND ETL/ELT PROCESSES: Specialized as a big data engineer in developing efficient ETL/ELT processes and data modeling for seamless integration and workflow automation. ⚡ ASYNC & CACHING: As a Python developer, I use Celery and Redis to support asynchronous processing and caching in production systems. 📈 PROFESSIONAL ATTRIBUTES: 📊 DATA-DRIVEN SOLUTIONS: Passionate, as a data engineer, about creating data solutions that drive business decisions and insights. 🤖 AUTOMATION AND EFFICIENCY: Constantly seeking, as an AI/LLM engineer, innovative ways to automate data and support processes using LLMs. 📉 ADVANCED ANALYTICS AND REPORTING: Skilled as a data engineer in developing reports and dashboards using Looker, Superset, and Looker Studio. 📩 READY TO ELEVATE YOUR DATA STRATEGY? Contact me to discuss how my expertise as a data engineer, as a big data engineer, as an AI/LLM engineer, and as a Python developer can align with your project's needs. Let's explore how we can unlock the full potential of your data together! 🚀

I build End-to-End data pipelines that feed your BI reporting systems like Slack and Looker Studio with up-to-date data, so you spend less time manually combining your data and more time analyzing your data. Client Results Developed a payroll processing data pipeline that processes $42,500/month in bonus payments for employees, cutting manual payroll processing work by 23 hours per week while increasing payroll accuracy. [ Pipeline: Google Sheets API → Python ETL Pipeline → Google Cloud run → Looker Studio] Created an automated pipeline that sends weekly PDF reports to enterprise clients for an industrial automation company, increasing LTC and decreasing enterprise customer churn. [Pipeline: API Ingestion → BigQuery → Make Automated for PDF report Generation → SendGrid Email Delivery] Reduced downtime of a production pipeline from 30 days to Nill by implementing log alerts in Google Cloud Platform, so stakeholders and developers get an email if a pipeline succeeds or fails. 📊 What I can help you with. If your team is still exporting data to spreadsheets, manually combining them, and building the same report over and over again, and you can't trust the numbers, I can fix that. I specialize in end-to-end automated reporting systems for B2B companies in SaaS, hospitality, marketing agencies, fintech, and training platforms that need to deliver recurring reports to clients without the manual overhead. 🔄 How I build Automated End-to-End Data Pipelines I connect APIs, databases, and platforms (including PMS systems like NewBook and Cloudbeds) into centralized data warehouses like BigQuery and Azure using Python or managed ETL tools like Airbyte and Fivetran. Pipelines are orchestrated with Dagster, Airflow, or within Python and designed with monitoring, alerting, and CI/CD pipelines using GitHub Actions for reliability. 🧠 I build Clean, Reliable Data Models Using dbt(SQL) or Python, I transform and combine all your raw data from various sources into clean, structured, user/client-ready metrics with version control, testing, and documentation so your reporting logic is transparent, scalable, and accurate. 📈 I built Live Dashboards that are Always Up-to-Date) I build Looker Studio (Data Studio) dashboards connected directly to BigQuery or your preferred database, so your clients and team always see live, accurate data without manual refreshes or outdated reports. It doesn't matter if your reports involve using marketing data from Google, Meta, or any other data source. I sit down with all my clients to get an exact list of KPIs, metrics, and charts that they want, so I can map out the data we need from all sources to build your dashboard or reporting system. 🏗️ Tech Stack **Cloud & Data:** Google Cloud Platform, Azure, BigQuery, Cloud Storage **Transformation & Orchestration:** dbt, Dagster, Python **CI/CD & Infrastructure:** GitHub Actions, pipeline automation **Visualization:** Looker Studio, Power BI **Automation:** Make, n8n, Airtable **Integrations:** Google Ads, Meta, GA4, APIs, PMS systems (NewBook, Cloudbeds) **Report Delivery:** SendGrid, Twilio, Slack 🎯 Who I Work With I work best with B2B companies that: * Deliver recurring reports to clients * Spend hours manually building or sending reports * Struggle with inconsistent or error-prone data * Need a scalable reporting system as they grow If you're manually exporting data, updating spreadsheets, or relying on analysts for repetitive reporting work, I’ll replace that with a system that runs automatically. 🤝 How I Work I focus on building systems that are: * Reliable (monitored, tested, and automated) * Scalable (built to grow with your business) * Cleanly structured (no fragile hacks or shortcuts) * Easy to maintain (documented and production-ready) You won’t get a quick fix. You’ll get a system designed to work long-term. 📁 Portfolio & Experience Real examples of pipelines, dashboards, and automation systems available upon request. Let’s Automate Your Reporting If you want to eliminate manual reporting, improve accuracy, and deliver better insights to your clients, let’s build a system that does it automatically. 📩 Send me a message and we’ll map out your reporting pipeline.

AI and Data Engineering for Growing Businesses I am a data and AI engineer who helps businesses turn messy data into systems that actually run, not proofs of concept that sit unused. If you are dealing with scattered data, manual reporting, or no real visibility into how your business is performing, I build the pipelines and dashboards that fix that, and I keep them running with minimal upkeep on your end. What I Do: Data Warehousing with Snowflake and Microsoft Fabric. I design and manage warehouse environments built for performance, security, and cost control. ETL and ELT Pipelines. I build automated pipelines that pull data from multiple sources and keep it accurate and up to date, with monitoring built in from the start. Data Modeling and Analytics. I create structured data models and analytics layers that power dashboards and KPI reporting. Workflow Automation. I automate reports, alerts, and transformations so they run reliably without manual intervention. Business Intelligence. I build dashboards and analysis around the KPIs that actually drive decisions, not vanity metrics. Why Work With Me: You talk directly to the person doing the work. There are no account managers or extra layers in between. Everything I build is designed for production from day one, with reliability and monitoring in mind, not added as an afterthought. KPIs are defined around your specific business, not pulled from a generic template. I work with a modern stack, including Snowflake, cloud data platforms, orchestration tools, and automation frameworks. My goal is to close the gap between a good data idea and a system your team actually uses every day.