VINAY KUMAR REDDY CHILAKALA
Senior Software Engineer | Data Architect | AWS
🚀 Professional Summary
Senior Software Engineer with 9 years of experience architecting petabyte-scale data lakes, large-scale distributed systems, and zero-ETL pipelines. Proven track record of leading cross-functional teams to build secure CI/CD infrastructure, multi-tenant access controls, and backend engineering. Expert in converting customer usage data into actionable leadership insights using Generative AI to automate complex reporting workflows.
💼 Experience
Senior Data Engineer | Amazon (AWS Migration Services)
Boston, MA | Nov 2020 – Present
- Petabyte-Scale Engineering: Engineered end-to-end systems for tools like the Itemized Credit Statement, processing petabytes of data daily for 5,000+ customers to provide insights into AWS Spend and Credit details.
- Technical Leadership: Served as Technical Lead for an organization-level initiative involving 5 engineering teams to unify global migration data into a centralized AWS Data Lake (MIDL).
- Zero-ETL & Compliance: Implemented Zero-ETL architecture and integrated fine-grained access control using AWS Lake Formation to ensure GDPR and AWS Security compliance.
- Cost & Performance Optimization: Reduced data pipeline latency from 16 to 9 hours and cut Redshift compute costs by $2M annually through advanced partitioning and data skew mitigation.
- Generative AI & Agentic Systems: Architected a multi-agent generative AI ecosystem using Amazon Bedrock and RAG, enabling natural language querying of customer metrics and automated distribution of Weekly Business Reviews via QuickSight.
- Engineering Excellence: Established CI/CD guidelines for Agentic AI usage data using AWS CDK, facilitating multi-region expansion and onboarding 15+ teams with zero downtime.
- Team Leadership: Managed a team of 2 data analysts and BIEs reporting directly to the AWS S-Team; conducted 25+ technical interviews for engineering roles.
Software Developer | Indiana Business Research Center
Indianapolis, IN | Jan 2018 – Nov 2020
- Big Data Architecture: Architected a scalable big data solution on a Hadoop Cluster (HDFS, Spark on Yarn, HBase, Hive), utilizing SparkML to improve fuzzy matching accuracy by 75% and speed by 800%.
- Data Modeling: Designed and developed a Unified Data Model using Master Data Management and Data Virtualization to consolidate information from disparate data sources.
- Modernization: Modernized State of Indiana websites with new ETL packages and ArcGIS; developed dashboards using Tableau and Power BI.
🛠 Technical Skills
- Computer Languages: Python, SQL (Expert), PySpark, AWS CDK (Infrastructure as Code), TypeScript, Java, HTML, CSS, JavaScript.
- AWS Services: Bedrock, Redshift, Lambda, DynamoDB, S3, KMS, Glue, EC2, CloudWatch, Athena, Kinesis.
- Specializations: Distributed Systems, Zero-ETL, Multi-agent AI Ecosystems, Data Observability, RAG, CNN-LSTM.
🎓 Education & Research
Purdue University, Indianapolis, IN | Dec 2019
- GPA: 3.41, Dean’s List
- Thesis: Climate Prediction Using Multiple Models — Implemented CNN-LSTM to outperform standard climate models by reducing RMSE by 1-2%.
- Teaching Assistant: Mentored undergraduate students in Programming Concepts and Introduction to Databases (SQL, MS-Access).
🏆 Certifications & Recognition
- Microsoft Certified Solutions Expert (MCID: 14779288)
- Ambassador for Data Modelling
- Consistent High Performer: 5 years of consistent high-performance reviews at Amazon.