Senior data engineer & AI data platform architect · Dubai
From architecture through production. I help teams modernize data platforms, automate high-value workflows, and build policy-aware AI systems that remain reliable in production.
Discuss your data challenge →production pipelines built and operated across regulated, geospatial, API and PDF sources
people reached by a public-health risk application with serverless data services
across data engineering and AI, insurance, public health, capital markets, government research
Three capabilities, one standard: what gets built stays governable, testable, and operable after handoff.
Cloud ingestion, dimensional modeling, data quality, incremental processing, and production operations. Tested fact and dimension models, not just pipelines that run.
Python · SQL · AWS · Redshift · dbt · PySpark · KafkaKnowledge ingestion, policy processing, grounding, routing, provenance, PII controls, and runtime telemetry. The system's decisions live in one place and its actions in another.
FastAPI · Dagster · Vector stores · Grounding · ProvenanceStakeholder communication, testing, release discipline, and team guidance. Guidance of junior engineers where the platform demands it.
Architecture · Reviews · Mentorship · Release disciplineCloud ingestion and transformation across regulated-business, geospatial, API, and PDF sources.
Runs as the governed ingestion standard behind 300+ production pipelines — auditable, reproducible, and no longer dependent on one-off scripts.
View case study →Statistical components, pipelines, and backend data services for a public risk application.
Backs a public risk application serving 2M+ people, with serverless services that hold up under real public-load spikes.
View case study →Tested warehouse models, compliance datasets, analytical marts, and scheduled snapshots.
Gives compliance and actuarial teams reconciled, trusted marts on a fixed daily and monthly cadence instead of manual extracts.
View case study →Batch and streaming signals in capital markets, validated ETL across 46 veterinary clinics, and a 2 to 20 PB genetics-data blueprint for precision-medicine research.
Each with the same standard: tested, documented, handed off operable.
View all case studies →Independent work, shipped and maintained.
Maintained projects live outside client engagements. Same standard, public by default.
A Rust data-activation engine that reacts to PostgreSQL change streams and delivers matching events to webhooks, Slack, or Telegram without polling or middleware.
An automated pipeline for extracting Dubai rent-contract data, transforming it to Parquet, and publishing analysis-ready releases and property-usage reports.
A maintained Hermes Agent plugin for reading, searching, and updating Google Sheets through focused spreadsheet tools.
PUDL and sportsdataverse-py: test modernization, AssetSpec migration, cache handling, and analysis examples. Reviewed upstream.
Three voices, not mine. Each one names a different thing: technical range, collegiality, delivery under difficulty.
“I have worked with Gaurav for close to a year and he is a very well rounded, skilled, and innovative data scientist. He has helped me in the development of statistical methods, backend server infrastructure, and data science tasks. Gaurav is not only a great developer but also a great communicator. He has always been very prompt, responsive, and completes tasks on time. He goes above and beyond to ensure that the customer requirements and needs are met. I recommend him to anyone seeking expert level data science services.”Benjamin Harvey, Ph.D. · Founder of AI Squared
“Gaurav is a thoughtful person with a very creative mind. He is intellectually curious and looks for efficient solutions to any problems. I enjoyed my time working with him and appreciate the collegial relationship we developed.”Ivette Basterrechea · Department of Justice
“I worked with Gaurav on several projects, he has strong technical skills and is also a good team player. He was able to deliver high-quality work and found solutions to difficult problems.”Le Zhang · Google
Dubai-based senior data engineer and AI data platform architect with 7+ years across governed AI, insurance, public health, regulated analytics, veterinary healthcare, capital markets, and government research.
UAE Golden Visa holder, available for remote global consulting engagements.
Core technology: Python · SQL · AWS · Redshift · dbt · PySpark · Kafka · FastAPI · Dagster
Open to select strategic leadership roles. View profile →
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15 minutes, no pitch deck. Bring the messy source.