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I'm a Senior Data Engineer with 4.5+ years of experience building scalable, cloud-native data platforms that turn raw data into reliable, business-ready insights. I've delivered enterprise solutions across banking (NAB), healthcare (Molina), and CPG (PepsiCo), specializing in end-to-end pipeline architecture, data modeling, and cloud migrations. What I bring to your project: 🔹 Cloud Data Engineering – Deep expertise in Azure (Databricks, Data Factory, Synapse) and AWS (EMR, Glue, S3, RedShift), with hands-on migration experience from on-prem and Teradata to cloud. 🔹 Pipeline Architecture & ETL – I design and build robust ingestion frameworks handling batch, incremental, and real-time data (Event Hub, Kafka) across formats like JSON, CSV, Parquet, and fixed-width files. 🔹 Data Modeling & Warehousing – Skilled in dimensional modeling, Data Vault, star/snowflake schemas, and silver/gold layer design. I've modeled 50+ tables across Oracle Fusion, SAP S/4, and healthcare domains. 🔹 Transformation & Orchestration – I translate complex business rules into DBT models, orchestrate workflows with Apache Airflow or AutoSys, and automate CI/CD via Jenkins and Azure DevOps. 🔹 Performance & Governance – I tune PostgreSQL and Spark jobs, implement data quality checks, reconciliation frameworks, and ensure compliance with data governance standards. 🔹 Generative AI & MLOps – Databricks-certified in Generative AI, with experience integrating MLflow for experiment tracking and building LLM-based automation using OpenAI and LangChain. Tech Stack: Python | SQL | Scala | Apache Spark | DBT | PostgreSQL | Snowflake | Airflow | Databricks | Azure | AWS | Git | Jenkins | MLflow | Power BI Certifications: Databricks Certified Data Engineer Professional | Azure Data Engineer (DP-203) | Snowflake SnowPro Core | Fabric Analytics Engineer (DP-600) | Generative AI Engineer Associate Whether you need a production-grade pipeline, a cloud migration, or a well-modeled data warehouse, I deliver clean, documented, and scalable solutions — on time and with clear communication. Let's discuss your project!

I am a senior Data Engineer with 6+ years of experience designing and building large-scale data pipelines and analytics platforms across finance, consulting, and enterprise domains. Currently working as a Sales Data Analytics Engineer at Russell Investments, I design and maintain high-performance data pipelines processing millions of records daily using Python, Pandas, Polars, Spark, and Snowflake. I have strong experience in building end-to-end ETL/ELT systems, optimizing SQL for sub-second query performance, and automating workflows using Apache Airflow and CI/CD. Previously at Cognizant, I built real-time and batch data platforms using Kafka, AWS Glue, S3, Snowflake, and Vertica, handling 10M+ records daily and achieving 99.9% pipeline reliability. I specialize in data modeling, performance tuning, cost optimization, and building production-grade analytics systems. Core expertise: • Data Warehousing: Snowflake, Vertica, SQL Server • ETL & Orchestration: Airflow, AWS Glue, Control-M • Big Data: Spark, Kafka, PySpark • Programming: Python, SQL (Advanced), Pandas, Polars, NumPy • Cloud: AWS (S3, Redshift, Glue), CI/CD, Git • Data Modeling & Optimization What clients get when working with me: ✔ Scalable, reliable data pipelines ✔ Optimized Snowflake & SQL performance ✔ Clean, production-ready Python code ✔ Automated workflows with monitoring ✔ Clear communication and on-time delivery I help startups and enterprises with: End-to-end data pipeline development Snowflake & cloud data warehouse design SQL performance tuning Real-time & batch ETL systems Data migration & modernization Analytics-ready data models

🚀 GCP Certified Data Engineer | Google Cloud Platform | Python | SQL | Airflow | GCP workflows | Bigquery | DataForm | Power BI With a solid foundation in GCP (Google Cloud Platform) and a certification in Data Engineering, I bring a wealth of expertise to the table. As a Senior Data Engineer with ~5 years of industry experience, including working in both product-based and service-based companies, I excel in leveraging cutting-edge technology to deliver innovative solutions. 🔹 Skills Highlights: GCP Expertise: Proficient in leveraging the power of Google Cloud Platform for data engineering tasks, ensuring efficient and scalable solutions. Python & PySpark: Adept at harnessing the capabilities of Python and PySpark to manipulate and analyze large datasets, driving actionable insights. SQL Mastery: Experienced in crafting complex SQL queries and optimizing database performance for streamlined data operations. Airflow expertise: Experienced with Apache Airflow, building ETL pipelines, managing task dependencies, and deploying and monitoring workflows. Power BI & Alteryx: Skilled in creating visually compelling dashboards and automating workflows using Power BI and Alteryx, empowering stakeholders with actionable insights. Problem-Solving: Known for my analytical mindset and ability to tackle complex challenges head-on, I thrive in dynamic environments where innovative solutions are required

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

Most organizations already run on Microsoft 365. What they usually don't have is a proper system behind the way work actually gets done. That tends to show up as approvals bouncing around in email, processes living in spreadsheets, documents piling up without naming or version control, and teams spending hours on filing and data entry that should largely run itself. That's typically where I get involved. I design and build Microsoft 365 solutions that bring structure to internal operations, built on SharePoint, Power Automate, Power BI, and the wider Power Platform. I've been doing this kind of work for 14+ years across finance, accounting, pharma, automotive, retail, and media, including regulated environments where audit trails and governance aren't optional. The kind of work I do most: - Building document workflows in SharePoint and Power Automate that classify, rename, route, and log files automatically, so documents move through proper lifecycle stages instead of manual filing. On a recent build I set up a flow that monitors a SharePoint library, reads each incoming document with OCR, files it into the right typed folder, and writes every action to an audit log. Designing approval and routing workflows in Power Automate with clean logic, escalation handling, and full audit trails. - Setting up SharePoint environments structured for the long term, with the right permissions, architecture, and governance from the start. - Building Power BI dashboards that give operational and executive teams real visibility, not just charts. I've delivered these connected to BigQuery, Azure, and live data sources with real-time refresh. - Connecting Microsoft 365 to external systems (CRM, ERP, finance platforms) through REST APIs and custom Python integrations. - Locking down M365 environments with Entra ID, Conditional Access, Sensitivity Labels, and DLP for organizations that need compliance built in. Projects I'm regularly brought in for: - Document control and renaming systems, procurement and approval workflows, onboarding and HR self-service, compliance and audit reporting, operational dashboards, and multi-system integrations across Finance, Operations, and IT. - I don't usually get involved in single-task work. Most of the time a process has outgrown what email and spreadsheets can handle, or an existing system wasn't built properly and needs rethinking. That's the kind of problem I work on. - My approach is practical and architecture-led: clean data structures, maintainable logic, clear permissions, and a solution the business can actually manage and build on going forward. Certifications: - Microsoft Certified Power BI Data Analyst Associate - Google Cloud Professional Data Engineer - Great Lakes Certified Deep Learning Professional - Treasure Data CDP Expert If that sounds like what you're dealing with, send me a couple of sentences on what you have and the problem you want solved, and I'll talk you through what a properly built solution would look like.

I am an experienced Developer and having more than 15 years of experience. My skill areas are - Power BI, Epicor BisTrack, NetSuite, SQL Server, Acumatica, MicroStrategy, EDI integrations with OpenText solutions, SSIS, Azure Data Factory & Pipelines, Azure Data Lake Store, Azure SQL Server & Data warehouse.