Ratnashekhar Nadooparambil
Hackensack,NJ
Summary
In my role as a Data Engineer at CVS I am dedicated to architecting
and implementing robust data pipelines, ensuring seamless data
ingestion, transformation, and storage. My mission is to empower
organizations by harnessing the power of data and enabling data
driven strategies that fuel growth, innovation, and operational
efficiency.
I have experience in building data-intensive applications, tackling
challenging architectural and scalability problems in the Financial
and Manufacturing domain. AWS Certified Solution Architect, having
extensive experience in building Terabytes scale data pipelines with
feasible big data technology stack.
Overview
1
1
Certification
8
8
years of professional experience
Work History
Senior Data Engineer
CVS Healthcare
Metropolitan Area, newyork city
07.2025 - Current
- - Architected dynamic configuration-driven data pipelines to ingest crossdomain data of Geo, Payroll, Finance etc.
- Developed data connectors library to streamline ETL development for 6+ teams to ensure consistent data pipelines
- Led cross-functional GCP migration of 40+ Airflow DAGs from legacy Azure/ Snowflake as part of cloud migration initiative
- Built distributed PySpark pipelines in Palantir for financial semantic layer, processing 2M+ daily events on 4B+ datalake.
- Created custom AI agent skills to automate table extraction, accelerating Databricks-to-GCP migration for Data Science.
- Designed data science MLOps on Databricks by automating CI/CD for model deployment from Personal to Prod workspace.
- Set up Databricks clusters with custom-built libraries that simplified connections to different data sources.
- Built data ingestion web app using Streamlit for business users to provide easy ingestion process into Tableau and Plotly.
- Designed automated data validation tool with checksum reconciliation to compare multi-terabyte data during migration.
- Integrated Great Expectations for CDC/schema validation to identify schema drifts before production deployment.
Data Engineer
Mastercard
Overland Park, Kansas
06.2024 - 07.2025
- Developed and optimized distributed data processing workflows using Apache Spark and Scala, improving data transformation performance across large datasets.
- Designed and managed end-to-end ETL pipelines leveraging Apache NiFi, Hive, and HBase for real-time and batch data ingestion and transformation. Implemented Kafka-based streaming solutions to process and analyze highvolume, real-time transaction data.
- Maintained and tuned YARN and Hadoop clusters for optimal resource allocation and job scheduling.
- Automated job orchestration and CI/CD workflows using Jenkins, improving deployment reliability and reducing manual effort.
- Utilized SQL for complex data querying, validation, and reporting to support business analytics and decision-making.
- Collaborated with cross-functional teams to ensure data quality, governance, and compliance with Mastercard’s security and privacy standards.
- Actively participated in sprint planning, peer code reviews, and architectural discussions following Agile methodologies.
Data Engineer
Cornerstone OnDemand
hyderabad, telangana
09.2018 - 05.2023
- Design and develop robust ETL/ELT pipelines using Informatica IICS, PySpark, and SQL to ensure seamless data movement and transformation across enterprise financial systems.
- Rearchitect legacy workflows by offloading complex logic to distributed processing frameworks, significantly improving pipeline efficiency and data reliability for auditing.
- Automate data orchestration and streamline integration processes using Apache Airflow to enhance system uptime and reduce manual intervention.
- Optimize complex SQL queries and data models, including Star Schema designs, to achieve higher efficiency in data extraction and reporting across multiple business domains.
- Collaborate with cross-functional teams to translate intricate business requirements into scalable data solutions that support advanced analytics and executive decision-making.
- Continuously enhance data infrastructure through performance tuning, workflow automation, and process standardization to ensure the accuracy of business-critical data
Education
Bachelor of Engineering - Computer Science
Acharya Nagarjuna University
Guntur06-2018
Master of Science - Computer Science
University of Central Missouri
Skills
- Databricks and lakehouse technologies
- Delta Live Tables (DLT)
- Delta Lake auto loader
- Databricks workflows
- Unity Catalog
- Z-ordering optimization
- Partition pruning
- Data modeling
- Medallion architecture
Certification
- Databricks Certified Data Engineer Associate , Databricks Certified Data Engineer Professional , AWS Certified Data Engineer, Associate
Timeline
Senior Data Engineer
CVS Healthcare
07.2025 - Current
Data Engineer
Mastercard
06.2024 - 07.2025
Data Engineer
Cornerstone OnDemand
09.2018 - 05.2023
Bachelor of Engineering - Computer Science
Acharya Nagarjuna University
Master of Science - Computer Science
University of Central Missouri