Headline

Data Engineer @ Accenture | Certified Databricks Data Engineer Associate | Certified Databricks Data Engineer Professional | Pyspark | SQL | AWS

About

As a Data Engineer at Accenture, I specialize in designing and implementing robust, scalable data solutions using Python, PySpark, Databricks, and AWS. With hands-on experience in cloud data engineering and a passion for automating data workflows, I’m committed to delivering actionable insights that drive business value. Certified as a Databricks Data Engineer Associate and proficient in modern data stack tools (SQL, Databricks, Jenkins, Terraform, GitHub), I thrive in dynamic environments where continuous learning and innovation are encouraged. My recent projects include streamlining ETL pipelines and optimizing data governance processes to support data-driven decision-making. I’m eager to connect with fellow data professionals and explore new challenges in data engineering, cloud platforms, and automation. Let’s connect and build the future of data together!

Location

Mumbai

Work experience

Data Engineering Management & Governance Analyst at Accenture, Mar 2025 - Present · 1 yr 4 mos, Maharashtra, India, -Designed and implemented scalable data pipelines using Python, PySpark, and Databricks, optimizing ETL workflows and reducing processing time by ~30% for large datasets. -Developed end-to-end data ingestion pipelines by integrating AWS services (S3, Lambda) to migrate and process data from on-premises systems to cloud environments, ensuring reliability and scalability. -Built robust data transformation workflows in Databricks, including flattening complex and nested JSON data, enabling efficient handling of semi-structured data for downstream analytics. -Applied data domainization techniques by implementing business logic to structure and segregate datasets into meaningful domains, making data analytics-ready for reporting and dashboarding. -Worked closely with cross-functional teams and business stakeholders to understand requirements and deliver data solutions aligned with business needs. -Implemented data governance and infrastructure practices using Terraform, ensuring consistency, version-controlled infrastructure, and adherence to standards. -Developed automated data quality checks and validation frameworks, improving data accuracy, consistency, and reducing manual effort in monitoring pipelines. -Integrated and maintained CI/CD pipelines using Jenkins and GitHub Actions to automate build, testing, and deployment workflows, improving development efficiency. -Used GitHub for version control, following best practices like branching strategies, pull requests, and code reviews, ensuring clean, maintainable, and collaborative codebase management. -Monitored pipeline performance and handled issue debugging, logging, and optimization, ensuring smooth execution and minimal disruptions in data workflows.

Data Engineering Management & Governance Associate at Accenture, Nov 2023 - Mar 2025 · 1 yr 5 mos, Mumbai, Maharashtra, India, - Supported migration of on-premise data systems to cloud platforms, utilizing Databricks and AWS for improved scalability. - Developed SQL queries and data models to support business analytics and reporting. - Earned Databricks Certified Data Engineer Associate credential during this tenure.

Education

Bachelor of Technology - BTech, Computer Science, GITAM Deemed University

High School, Navy Children School