About
Results-driven Data Engineer with 15+ years of experience turning complex, large-scale data
challenges into reliable, high-performance solutions. From architecting end-to-end data pipelines
and cloud data warehouses to delivering business intelligence that drives real decisions, I bring
deep technical expertise and a strong track record across Fortune 500 environments including
Oracle, CGI, and PwC.
I specialize in the full data engineering lifecycle — ingestion, transformation, quality, and
delivery — with hands-on expertise in AWS big data services, Apache Spark, Airflow, Redshift,
and Tableau. AWS certified and consistently recognized for bridging the gap between engineering
rigor and business impact.
Experience
Principal Member of Technical Staff
July 2021 — PresentSenior Consultant
June 2014 — July 2021Consultant
June 2012 — May 2013- Designed, developed and maintained data pipelines, models and analytics for a Business Intelligence product.
- Engineered solutions for optimal extraction, transformation, and loading of large-scale data from a wide variety of data sources and created automated dataflows into data lakes and data warehouses.
- Collaborated with cross-functional teams and users to understand data needs and translate them into technical specifications.
- Optimized performance of critical SQL queries and resolved ETL issues by performing root cause analysis.
- Deployed data quality checks and audit logging ensuring high quality of data.
- Developed reports and visualizations using Tableau and Power BI to deliver valuable data-driven insights.
- Managed scope of requirements and prioritized stories/tasks across distributed teams using agile approach.
Senior Associate
June 2013 — April 2014- Partnered with clients to gather business requirements and prioritize technical details for data analysis.
- Developed scripts for data integration of disparate data sources, cleansed data and resolved data quality issues.
- Developed application to capture, validate and format fraud detection data, reducing validation and search time by 50%.
- Managed a cross-functional data analysis project with CTOs from 25 countries and coordinated changes in scope.
- Analyzed finder's fee fraud from large data sets and created reports that provided insights.
Education
Master of Information Systems Management
Carnegie Mellon University — Pittsburgh, PA
Bachelor of Engineering in Production Engineering
Mumbai University — Mumbai, India
Skills
Languages
Databases
Big Data
Cloud
Tools
Certifications
Amazon Web Services
AWS Certified Big Data — Specialty
2020Amazon Web Services
AWS Certified Solutions Architect — Associate
2019Oracle
Oracle Certified SQL Expert
2013Sun Microsystems