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Design and optimize scalable data pipelines and govern enterprise data using Azure Databricks, Unity Catalog, dbt, and Master Data Management frameworks.
Lead the modernization of a legacy application by rebuilding it with Python-based services for validation, refactoring, and quality checks, leveraging AWS cloud services and LLM-based development workflows.
Evaluate AI-generated data engineering implementations—ETL/ELT pipelines, data warehouses, distributed systems—using frontier AI coding agents, with Python and SQL as core technologies.
Lead BI Engineer responsible for designing Power BI solutions, developing complex dashboards and reports, and working with SQL Server, SSIS, SSRS, and SSAS technologies. Provides technical guidance to developers and works with Medallion Architecture.
Palantir Foundry Data Engineer building scalable data pipelines, Ontology models, Workshop apps, and Quiver dashboards using Python, PySpark, and SQL.
Build and maintain ETL/ELT pipelines using Informatica and Snowflake, develop data models, and manage metadata and data lineage with Informatica Data Catalog to support enterprise data governance and analytics.
Build and maintain data infrastructure—ETL pipelines, cloud data warehouse, and automated reporting—for a private credit investment firm in Gurugram, working with loan-level datasets and integrating servicer/financial data sources using SQL, Python, and cloud warehouses.
Lead Data Governance Engineer at Mahindra establishing enterprise-wide data governance frameworks—data quality, metadata/catalog, lineage, security, and compliance automation—using tools like Collibra/Alation/Purview on cloud data platforms.
Senior Data Engineer designing and building scalable ETL/ELT pipelines, data lakes, and data warehouses on AWS (Lambda, Glue, S3, Redshift, EMR, MWAA/Airflow) with Snowflake and Python across multiple Indian cities.
Data Engineer working with GCP technologies based in Chennai.
Lead Databricks Data Engineer to own data engineering workstream of a large-scale predictive analytics programme, architecting and leading production-grade data pipelines on Databricks, integrating SAP and Oracle systems into a governed lakehouse, and leading a small engineering team.
A Databricks Data Engineer role involving hands-on data engineering with Apache Spark, Databricks, Python/Scala, ETL pipelines, data warehousing, and cloud services (AWS/Azure) for large datasets.
Build and maintain data pipelines, storage (including vector databases), and a metrics layer to power AI agents for customer support data, using big data tools, Python/PySpark, and cloud data warehouses.
Data Analyst/Data Engineer designing analytics architecture, managing databases, writing SQL queries, and automating Power BI reports for stakeholders.
GCP Data Engineer building scalable batch and real-time data pipelines on Google Cloud Platform, supporting AI/ML and analytics use cases with BigQuery, Dataflow, Python, and SQL.
Design, develop, and optimize scalable GCP-based ETL workflows and data pipelines using Python, Cloud Composer, Dataproc, and Pub/Sub.
Design, build, and govern enterprise-scale cloud data platforms (Databricks, Snowflake, Microsoft Fabric) using Python, C#, and PowerShell, leading architecture, governance, MDM, and integration efforts.
Google Data Engineering role at TCS focused on ensuring Vertex AI platform availability, secure exposure of public models, and infrastructure automation using Terraform on GCP.
Senior Data Engineer building and supporting enterprise data infrastructure using PySpark, AWS (Glue, Lambda, S3, Redshift), and Apache Airflow, with production operations and team mentorship responsibilities.
AWS Data Engineer designing data strategies, building big data solutions on AWS/Spark/Hadoop, programming in Scala/Python/Java/SQL, and tuning Spark for billion-record processing.
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