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I am a senior data engineer with a career-focused and motivated approach, delivering cost-effective, high-performance technology solutions to meet challenging business needs. I excel at planning, supervising, and managing technical operations under pressure, with extensive experience in energy, compliance, and regulatory projects.\n\nI bring broad experience in data engineering, mastering tools, languages, and processes; I thrive at gathering requirements from project inception through release, collaborating with stakeholders and cross-functional teams to deliver scalable data pipelines and governance-ready data assets.…I am a senior data engineer with a career-focused and motivated approach, delivering cost-effective, high-performance technology solutions to meet challenging business needs. I excel at planning, supervising, and managing technical operations under pressure, with extensive experience in energy, compliance, and regulatory projects.\n\nI bring broad experience in data engineering, mastering tools, languages, and processes; I thrive at gathering requirements from project inception through release, collaborating with stakeholders and cross-functional teams to deliver scalable data pipelines and governance-ready data assets.

Sharath Kumar

Data Scientist, Developer, Full Stack Developer, +2

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I am a senior data engineer with a career-focused and motivated approach, delivering cost-effective, high-performance technology solutions to meet challenging business needs. I excel at planning, supervising, and managing technical operations under pressure, with extensive experience in energy, compliance, and regulatory projects.\n\nI bring broad experience in data engineering, mastering tools, languages, and processes; I thrive at gathering requirements from project inception through release, collaborating with stakeholders and cross-functional teams to deliver scalable data pipelines and governance-ready data assets.…I am a senior data engineer with a career-focused and motivated approach, delivering cost-effective, high-performance technology solutions to meet challenging business needs. I excel at planning, supervising, and managing technical operations under pressure, with extensive experience in energy, compliance, and regulatory projects.\n\nI bring broad experience in data engineering, mastering tools, languages, and processes; I thrive at gathering requirements from project inception through release, collaborating with stakeholders and cross-functional teams to deliver scalable data pipelines and governance-ready data assets.

Available to hire

I am a senior data engineer with a career-focused and motivated approach, delivering cost-effective, high-performance technology solutions to meet challenging business needs. I excel at planning, supervising, and managing technical operations under pressure, with extensive experience in energy, compliance, and regulatory projects.\n\nI bring broad experience in data engineering, mastering tools, languages, and processes; I thrive at gathering requirements from project inception through release, collaborating with stakeholders and cross-functional teams to deliver scalable data pipelines and governance-ready data assets.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AWS Data Engineer at AmeriHealth Caritas

May 1, 2025 - November 1, 2025

Designed and developed robust AWS-based ETL pipelines to extract, transform, and load Medicaid and Medicare claims data from Salesforce, Oracle, ADP, Facets, and on-premises SQL Server systems into Amazon S3 and Redshift for enterprise reporting and analytics. Built data ingestion frameworks using AWS Glue, Lambda, and Step Functions to automate integration of structured and semi-structured data from Salesforce APIs, Oracle ERP, and Facets healthcare systems. Developed PySpark transformations in AWS Glue to cleanse and standardize claims, provider, and member data while maintaining HIPAA compliance and data governance requirements. Led the Salesforce Lift & Heal objects migration project, optimizing ingestion and transformation logic for 60+ objects, improving load efficiency and data accuracy across environments. Improved pipeline performance by 35% by tuning Glue job parallelism, partitioning large datasets, and Delta table writes. Installed and configured multi-node EC2 clusters to

Senior AWS Data Engineer at McKesson Corporation

November 1, 2022 - February 1, 2025

Implemented serverless architectures (API Gateway, Lambda, DynamoDB) and deployed Lambda code; built Spark jobs on Databricks for data cleansing and transformations; implemented DBT on Redshift; orchestrated ETL workflows using Glue and Step Functions; created CloudFormation templates for SNS, SQS, Elasticsearch, DynamoDB, Lambda, EC2, VPC, RDS, S3, IAM, CloudWatch; monitored systems with CloudWatch and X-Ray; built front-end UI with Retool; migrated data to Snowflake and ClickHouse; automated deployments and monitoring across AWS stack.

Azure Data Engineer at ABN Amro | Finance Company

January 1, 2020 - July 1, 2021

Developed frameworks to read data from Data Lake using Azure Databricks and PySpark; automated data validation; designed dimensional data modeling (Snowflake schemas) and data marts; automated PySpark transformation logic; built SSIS packages for data transfer to SQL Server; triggered Databricks notebooks via ADF; ingested data into Blob storage and created integrated datasets for downstream data marts.

AWS Data Engineer at Nerdwallet

August 1, 2017 - December 1, 2019

Developed ETL processes using Python and Airflow; migrated data from Redshift to Snowflake; data stored in S3; conducted data analysis for production failures; built data pipeline architecture enabling reporting via Looker, Tableau, and Power BI.

Intern Application Development Analyst at Capital Group

March 1, 2017 - August 1, 2017

Performed ETL operations, automated ETL processes using Robot Framework and Python; developed Python scripts to read, validate, and load data into databases; used SQL, UNIX scripting, and contributed to production deployments and on-call support.