Oct 2024 – Mar 2025 · 5 mos · Remote

Sep 2023 – Oct 2024 · 1 yr 1 mo · Bengaluru, Karnataka, India · Hybrid

• Engineered a robust big data framework to process high volumes of data weekly and monthly, significantly enhancing data analysis capabilities for diverse clients.
• Directed production deployments, data loads, and testing (SIT and UAT), achieving a 50% reduction in run-time.
• Built enterprise big data ingestion and processing solutions using AWS (Glue), Airflow, Azure (Databricks with ADF), and Snowflake.
• Pioneered automation of data tasks with AWS Lambda, improving operational efficiency by 60% and reducing data processing time by 50 hours per week.
• Enhanced data quality and SQL performance by optimizing table structure for scalability, reducing runtime by 30%, and generating comprehensive reports for execution time and cost analysis.
• Facilitated the automation of data cleansing and enrichment processes, improving data accuracy and usability for analytics purposes.

Jan 2023 – Sep 2023 · 8 mos · Hybrid

• Architected a large-scale commercial data platform for a pharmaceutical client, managing 200+ TB of data across 50+ sources via Snowflake, boosting data accessibility by 35%.
• Led a 4-member team in agile-driven enterprise implementations for Healthcare/Pharma clients, overseeing the entire project lifecycle from requirement gathering to rollouts.
• Demonstrated proficiency in dimensional and multi-dimensional modeling, building logical data models.
• Streamlined DQ Checks automation and report generation within data pipelines, reducing operational overhead by 70%, resulting in $500K savings.
• Migrated traditional on-premises ELT pipelines to AWS cloud using technologies like EMR, RDS, Airflow, Control-M, and S3/ADLS, and implemented ML-Ops with Dataiku.
• Innovated a robust streaming data solution with AWS Kinesis Data Streams, Firehose, and Analytics, enhancing real-time data processing efficiency by 35%.
• Enhanced system performance by 55% through effective utilization of BigQuery.
• Collaborated with cross-functional teams to ensure seamless data ingestion, development, and testing for dashboards on Tableau and MicroStrategy.

Oct 2020 – Dec 2022 · 2 yrs 2 mos · Hybrid

• Executed and orchestrated an automated ETL process/data pipeline, resulting in a 60% increase in customer retention and 75% sales growth.
• Developed modules for insights and KPI calculations using AWS Services (Lambda, S3, EC2, DynamoDB, Redshift, SNS, step functions) and Python for retail Buying Engine.
• Leveraged Spark applications with Amazon Kinesis to ingest patient-related data into repositories like Hive, Cassandra, and HBase.
• Engineered a comprehensive DQM system and automated report framework, achieving a 20% reduction in data errors and a 90% decrease in operational costs.
• Designed and implemented data analytics tools, uncovering vital insights and increasing campaign effectiveness by 45%.
• Developed APIs using AWS API Gateway for real-time data extraction, improving data ingestion rate by 40%.

Jul 2019 – Jan 2020 · 6 mos · Greater Bengaluru Area · On-site

Jun 2019 – Jul 2019 · 1 mo · Greater Nagpur Area · On-site

May 2018 – Jul 2018 · 2 mos · Dispur, Assam, India · On-site

• Conducted research on algorithms for 3D integrated circuits and Through-Silicon Vias (TSVs) assignment, contributing to advancements in the field of electrical design and packaging.
• Collaborated with a team of researchers to develop a shortest path algorithm for 3D ICs, optimizing the TSV assignment process.
• Analyzed and interpreted complex data sets to enhance the efficiency and performance of integrated circuits.
• Led the publication of findings in the IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) conference.