Sep 2024 – Mar 2026 · 1 yr 6 mos · Hybrid

• Driving enterprise transformation at the intersection of Agentic AI, Generative AI, Data Engineering, and Cloud Architecture.
• I lead cross-functional teams to build scalable, production-grade AI systems leveraging Vertex AI, Cloud Run, BigQuery, and agentic architectures that enable automation, intelligence, and measurable business impact.
• Architected multi-agent AI systems using Vertex AI Agent Engine + Cloud Run, improving response accuracy and reducing manual intervention across enterprise workflows.
• Delivered next-gen LLM applications with bias/latency mitigation, prompt governance, grounding, and real-time context integration.
• Modernized large-scale data platforms using BigQuery, Dataflow, Kafka, and DBT, enabling both batch and real-time analytics.
• Established MLOps and LLMOps best practices—CI/CD, monitoring, retraining pipelines, and governance frameworks.
• Mentored engineering teams, defined AI adoption roadmaps, and improved delivery velocity through reusable accelerators and platform patterns.
• Partnered with leadership and business teams to align AI use cases with measurable ROI and operational value.

Jul 2023 – Aug 2024 · 1 yr 1 mo · Hybrid

• Designed end-to-end GCP data models enabling migration from legacy systems to BigQuery and Looker.
• Built scalable DBT pipelines deployed via Cloud Run + GitHub Actions CI/CD, improving developer efficiency and release reliability.
• Automated PII detection, masking, and policy tag generation using DLP + Cloud Functions, ensuring privacy-by-design.
• Created a centralized metadata scanning tool to classify high-sensitivity fields across datasets.
• Deployed Composer-to-Cloud Run hybrid orchestration for operational efficiency and cost optimization.
• Worked with data science teams to standardize unstructured → structured data classification pipelines.

Jan 2023 – Jun 2023 · 5 mos · Remote

• Designed CDC-based pipelines using Cloud SQL → GCS → Pub/Sub → Dataflow → BigQuery for real-time and batch ingestion.
• Built automated PII masking and policy tag frameworks using BigQuery, DLP, and Cloud Functions.
• Partnered with product owners to define enterprise data models, spanning master, transactional, and analytical datasets.
• Drove governance alignment, ensuring privacy, identity resolution, and compliance were embedded into the core data model.
• Developed repeatable cloud-first architecture patterns for ingestion, cleansing, transformation, and lineage.
• Unnested complex JSON using scalable Dataflow pipelines, enabling analytics-ready structures.

Oct 2022 – Jan 2023 · 3 mos · Amsterdam, North Holland, Netherlands · On-site

• Migrated enterprise systems (MS SQL, Dynamics, Salesforce) to BigQuery using EDM/EDH frameworks.
• Built advanced ETL pipelines using Airflow, Dataflow, and BigQuery, enabling high-frequency reporting.
• Created Authorized Views to implement secure, governed access models across business teams.
• Designed real-time ingestion patterns across multiple enterprise sources and messaging systems.
• Conducted architecture workshops for stakeholders driving modernization strategy and capability uplift.

May 2021 – Oct 2022 · 1 yr 5 mos · Amsterdam, North Holland, Netherlands · On-site

• Developed automated pipelines for daily extracts, ad-hoc reporting, and federated data consumption.
• Built monitoring and optimization frameworks for query performance and warehouse efficiency.
• Collaborated with analytics and data science teams for data mart tuning and metadata modeling.
• Led development teams, ensuring scalable, secure, and high-quality data engineering deliverables.

May 2016 – Apr 2021 · 4 yrs 11 mos · Chennai, Tamil Nadu, India

• Built end-to-end ETL pipelines using Informatica and SQL, optimizing transformations and reducing runtime.
• Implemented metadata-driven frameworks for scheduling, validation, and quality checks.
• Designed reusable maplets and transformations, improving development productivity and standardization.
• Handled release readiness reviews, versioning, and environment readiness for large-scale deployments

May 2013 – Apr 2016 · 2 yrs 11 mos

• Developed complex ETL workflows using Informatica: Lookups, Aggregations, Joins, Routing, and Update Strategy.
• Created automated data validation and exception-handling pipelines for end-user reconciliation.
• Designed reusable ETL components and supported release and build tool automation.
• Performed performance tuning at mapping and functional levels to reduce load time and improve SLAs.