Available to hire
I am a data engineer based in the United States with around 5 years of hands-on experience designing, optimizing, and managing data pipelines across SDLC, Agile, and Waterfall environments. I specialize in Python, SQL, and big data technologies, and I leverage BI tools to drive data-driven decision making.
I have delivered scalable, high-quality data solutions at Goldman Sachs, Accenture, and JP Morgan Chase/InsideSherpa, focusing on data quality, reliability, and speed. My work includes building end-to-end pipelines with PySpark, Kafka, Airflow, Snowflake, Redshift, and visualization platforms like Tableau and Power BI to improve reporting timelines and business outcomes.
Skills
Language
English
Fluent
Work Experience
Data Engineer at Goldman Sachs
March 1, 2024 - November 4, 2025Developed, tested, and deployed ETL workflows (SSIS) to automate data extraction, transformation, and loading, reducing manual effort by ~18%. Designed end-to-end data pipelines by integrating PySpark with Airflow, AWS Step Functions, and Azure Data Factory to improve scalability and reliability. Automated workflows with Airflow DAGs, increasing consistency and reducing failures. Improved processing efficiency ~30% with Spark/Hive. Deployed unified relational structures using Snowflake and Redshift, improving data consistency ~15%. Created interactive Power BI dashboards enabling faster reporting and 15% quicker decision making. Collaborated using Git, Jira, Jenkins to reduce deployment issues by ~7-10%. Enhanced data quality via Pandas/NumPy (~15%), and built PySpark ETL pipelines for large-scale datasets in Hadoop/AWS EMR/Databricks/Azure Synapse. Optimized data models and used Spark UI to detect bottlenecks, achieving ~12-15% performance gains.
Data Engineer Associate at Accenture, India
December 1, 2022 - December 1, 2022Designed and optimized ETL workflows using Informatica to integrate financial data for forecasting, reconciliation, and monthly reporting. Built real-time data pipelines with Hadoop, Spark, and Kafka processing >10M IoT records/day, enabling improved vehicle diagnostics and predictive maintenance. Developed end-to-end data models to standardize/enrich financial data, reducing latency by 35%. Created Tableau dashboards for C-level stakeholders to monitor revenue, expenditures, and resource use, boosting operational efficiency by 20%. Led resolution of Hyperion Financial Management issues ensuring 100% SLA compliance. Implemented data quality frameworks within ETL pipelines, increasing trust and reducing manual error resolution by 40%. Collaborated across finance, operations, and IT to translate business needs into data architectures, accelerating delivery.
Data Engineer at JP Morgan Chase & KMPG by InsideSherpa, India
June 1, 2021 - June 1, 2021Engineered robust ETL workflows using SQL and Python to populate data warehouses with high fidelity. Designed scalable ingestion pipelines using Spark and Pig, reducing data latency by 35%. Achieved 99.4% pipeline uptime by implementing resilient streaming and transactional ingestion across eight data sources. Refactored SQL logic in MySQL/MongoDB to improve query speed by 25%. Automated end-to-end ETL with SSIS, reducing refresh time by 20%. Built cloud-native data lakes and analytical warehouses using AWS S3 and Redshift. Developed dynamic Tableau dashboards with automated refreshes, cutting manual reporting by 30%. Enhanced data reliability through Pandas/NumPy data cleaning and normalization, and deployed batch-driven workflows via CI/CD.
Education
Master of Science, Information Technology & Management at The University of Texas at Dallas
January 11, 2030 - November 4, 2025Bachelor of Engineering in Computer Science at Visvesvaraya Technological University, India
January 11, 2030 - November 4, 2025Qualifications
Industry Experience
Software & Internet, Financial Services, Professional Services, Other
Skills
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