Available to hire
I am a Data Engineer with around 5 years of experience architecting scalable data warehousing solutions across Azure and AWS ecosystems. My expertise lies in bridging the gap between raw data and actionable insights by building robust ETL/ELT pipelines using Azure Data Factory, Databricks, and AWS Glue.
Whether it’s orchestrating CI/CD workflows via Azure DevOps or managing real-time streams through Stream Analytics, I focus on resilient, automated systems that thrive in Agile environments. I am equally at home optimizing Azure Synapse as I am leveraging AWS cloud services to drive data-led decision-making.
Skills
Language
English
Advanced
Work Experience
Data Engineer at ARC Health Partners
November 1, 2024 - PresentPartnered with the Director of Analytics to manage and optimize the enterprise data warehouse, ETL pipelines, and analytics infrastructure supporting 25+ healthcare practices. Built and maintained secure, high-quality data pipelines integrating data from 10+ EHR systems, ensuring reliability, consistency, and scalability. Designed and enhanced ETL workflows using Azure Synapse Analytics, SQL, Python, Databricks, and Salesforce integrations, improving performance and reducing processing costs. Led end-to-end data initiatives from requirements gathering through testing, deployment, and ongoing support. Developed processes to integrate Salesforce data into the data warehouse for business, finance, and leadership analytics. Designed Snowflake data models (fact/dimensions) and optimized queries with clustering and warehouse sizing, reducing compute costs. Integrated Snowflake with S3/ADLS for scalable ELT workflows. Collaborated with leadership and finance to deliver monthly reports and ad-
Data Engineer at The University of Southern Mississippi
June 1, 2023 - October 1, 2024Designed and built AWS-based data pipelines to move data from multiple sources into analytics platforms, using AWS Glue, Lambda, and Step Functions to support batch and event-driven processing. Worked with Apache Spark on Databricks to process large datasets and support near real-time analytics. Developed and maintained NoSQL stores using MongoDB and DynamoDB, focusing on reliability, scalability, and efficient data access. Supported real-time data ingestion by working with Kafka-based streaming pipelines and AWS messaging services to handle high-volume data flows. Helped design and optimize data warehouse solutions using Amazon Redshift and Snowflake, improving query performance and reducing overall processing costs. Built Tableau and Power BI dashboards that enabled stakeholders to track metrics. Automated recurring data workflows and dependencies using AWS scheduling and orchestration tools. Managed Databricks clusters on AWS, including job scheduling, autoscaling, and performance t
Data Engineer at DXC Technology, India
August 1, 2021 - November 1, 2022Modernized production data systems for enterprise clients, primarily using Azure cloud services, with exposure to AWS-based data platforms on select projects. Analyzed existing applications and data flows, performing impact assessments to introduce new data solutions while minimizing disruption to business operations. Designed and built ETL pipelines using Azure Data Factory, extracting and transforming data from relational databases, files, and external data sources. Ingested and managed large datasets in Azure Data Lake, Azure SQL Database, and Azure Synapse, supporting analytics and reporting workloads. Developed REST APIs to expose curated analytics data. Used Terraform to provision and manage cloud infrastructure for data platforms, including storage, compute resources, and access policies. Standardized data infrastructure deployments using Infrastructure as Code (IaC). Implemented Spark-based data processing using PySpark and Spark SQL on Databricks to transform, aggregate, and a
Data Engineer at Fortis Healthcare
June 1, 2020 - December 1, 2020Worked in an Agile environment to support data warehouse development and improve delivery efficiency. Built and maintained big data pipelines using Spark, Hive, and HBase on Hadoop. Performed ETL and data integration using Azure Data Factory, Spark SQL, and T-SQL, loading curated data into Azure Data Lake, SQL Database, and Databricks. Used Databricks notebooks to transform data, optimize ETL workflows, and support analytics and reporting needs. Optimized Spark and Hive jobs by tuning queries, managing partitions, and improving resource utilization. Implemented batch data ingestion using Sqoop and PySpark. Designed and evaluated AWS-based analytics solutions using S3, EMR, Redshift, Glue, Athena, and Kinesis for scalable data processing.
Data Engineer Intern at Virtusa Consulting Services
January 1, 2020 - June 1, 2020Assisted in building and maintaining data pipelines using SQL and Python to ingest and transform data from multiple sources for analytics use cases. Supported ETL workflows on cloud platforms, helping prepare clean and structured datasets for reporting and downstream applications. Worked with Apache Spark to process and transform large datasets, gaining hands-on experience with distributed data processing. Helped manage data stored in cloud data lakes and warehouses (AWS S3, Redshift, or Azure Data Lake), following data engineering best practices. Wrote and optimized SQL queries to support business intelligence dashboards and ad-hoc analysis. Collaborated in an Agile team environment, assisting with data validation, documentation, and ongoing pipeline improvements.
Education
Master of Science in Computer & Information Science at The University of Southern Mississippi
January 1, 2023 - May 1, 2024Bachelor of Technology in Electronics & Communication Engineering at Narasaraopet Engineering College
June 1, 2018 - April 1, 2022Qualifications
AWS Cloud Technical Essentials
January 11, 2030 - January 29, 2026Databricks Lakehouse Fundamentals
January 11, 2030 - January 29, 2026Generative AI Completion Badge
January 11, 2030 - January 29, 2026Industry Experience
Healthcare, Software & Internet, Professional Services
Skills
Hire a Data Scientist
We have the best data scientist experts on Twine. Hire a data scientist in Virginia Beach today.