VINOD KUMAR CHAKARA
AWS Data Engineer
Hyderabad
Summary
Experienced Data Engineer with 3.2 years of expertise in designing and developing scalable ETL pipelines on AWS. Skilled in Python, Py-Spark, SQL, and AWS services (Glue, Redshift, S3, App Flow, Lambda) with strong knowledge of data modeling and performance tuning. Proficient in handling incremental loads, SCD implementations, and data transformation for analytics-ready solutions. Adept at troubleshooting pipeline issues, automating workflows, and ensuring secure, reliable data delivery using IAM, and Cloud-Watch monitoring.
Overview
3
3
years of professional experience
Work History
AWS Data Engineer
GE Healthcare
05.2022 - 07.2025
- Designed and implemented scalable ETL pipelines to ingest structured and semi-structured data (Salesforce, REST API) into AWS Redshift, S3, and using AWS Glue, App-Flow, EC2, and custom Python scripts.
- Oversee data ingestion processes across multiple platforms, ensuring seamless integration with AWS Redshift and S3 for storage and analysis.
- Built optimized ETL jobs with Pyspark (Glue) and Python.
- Loaded curated datasets into Redshift and Delta Lake with SCD Type1 and 2 logics, and designed dimensional models for analytics and BI reporting.
- Performed validation, reconciliation, and data quality checks using SQL, Pandas, and Pyspark and Athena to ensure accuracy and consistency before final loads. enforced data governance practices through AWS Glue Data Catalog for schema versioning, metadata management, and lineage tracking.
- Automated workflows using AWS Event bridge and Lambda with retries and error handling; secured pipelines with IAM encryption, and audit logging; implemented CloudWatch-based monitoring and alerts.
- Implemented CI/CD pipelines to automate build, test, and deployment processes across Lambda, Glue, and Redshift ETL components.
- I have knowledge on Amazon EC2, VPC, IAM, S3, RDS, WAF, Load Balancer, Auto Scaling, SNS, KMS, Lambda, CloudTrail, EBS and Snapshots.
Education
Master of Science - Master of Computer Applications (MCA)
Sri Harsha Institute of PG Studies
Nellore09.2020
Skills
AWS
Key Functional Areas
- Designed and developed ETL pipelines using AWS Glue, Lambda, and Pyspark for automated data ingestion and transformation.
- Integrated data from multiple sources into Amazon S3 and Redshift using AWS App Flow, Python, and SQL.
- Developed incremental and SCD processes to optimize data refresh and maintain accurate historical information.
- Automated workflows and monitoring using Glue Workflows, Lambda, and CloudWatch.
- Ensured data security and compliance through IAM, and S3 bucket policies.
- Experienced in using Linux for ETL workflows, including shell scripting, file handling, scheduling, log monitoring, and automation of data processing tasks.
- We use Amazon Athena for source-to-target validation, ad-hoc analysis, log analysis, and for exploring data stored in our data lakes.
- Implemented CI/CD pipelines to automate build, test, and deployment processes across Lambda, Glue, and Redshift ETL components.
- Shell scripting for automation, scheduling, and log/testing operations in EC2 Linux environments.
- Experienced in Git for version control, including branching, merging, and managing code repositories using GitHub
DISCLAIMER
I declare that the information stated above is true and correct to the best of my belief. And I hold the responsibility for the correctness of the above mentioned particulars.
Timeline
AWS Data Engineer
GE Healthcare
05.2022 - 07.2025
Master of Science - Master of Computer Applications (MCA)
Sri Harsha Institute of PG Studies