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Chava Sujan
Data Engineer Specialist @Vanguard
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WORK HISTORY
Data Engineer Specialist @Vanguard
Malvern, PA, US
As a data engineer worked on different set of projects by setting up streamlined pipelines.1. Creating scheduled and event based glue jobs using AWS glue, lambda, sns.2. Migrated jobs from EMR to AWS Glue.3. Supported infrastructure upgrades, resolving dependencies.4. Created a centralized infrastructure to better mange all the pipelines we own.5. Introduced Iceberg format into our pipelines for using efficient capabilities of Lakehkouse architecture and used snapshot and metadata clean up techniques to vetter manage and maintain data stoured in our AWS S3.6. Reduced the cost of our glue jobs by nearly 60-70% on our overall pipelines by using efficient coding, right worker types and right pipeline setup based on size of data being processed.7. Created virtual analyst prototype using AWS bedrock, Lambda, ECS, ECR and streamlit forntend which would help business to interact with AI agent to get better understanding of the metadata of the tables we created and convert business questions around the tables from natural laguage to executable sql’s which runs in AWS Athena and provide results to end users in visual and markdown format.8. Intensively using Claude code and Github copilot for efficient delivery of day to day tasks.9. Github and git for version control and github workflows for CICD and Jira for project management.10. Migrated all our pipelines from bitbucket to github.
EDUCATION
George Mason University
Masters, Data Analytics Engineering at George Mason University. CGPA: 3.83/4
National Institute of Technology Puducherry
Bachelor of Technology - BTech, Computer Science and Engineering
ABOUT CHAVA SUJAN
Having 6+ years of enterprise level experience with Data science technologies like ETL, SQL, Python, Big Data/Hadoop,also familiar with using AI into day to day activities. I have an exposure to various phases of Analysis, Design, Development,Testing, Deployment and Maintenance activities of various IT projects at the industry level. Familiarity with Data warehousing techniques, data modelling and Database development at enterprise level and also involved in development activities using Python programming and Language: Python, C, Java (Core).Cloud: AWS — Bedrock, Sagemaker, S3, ECS, EMR, EC2, Glue, Lambda, Cloudformation and troposphere- Python.Version Control: Git, Bitbucket, Git-bash, Azure DevOps.Web Technologies: Streamlit, HTML, CSS, PHP.Database: MySQL, SQL-Oracle12c, DB2.Big Data Ecosystems: HDFS, Spark, Hive, Py-Spark.Operating Systems: Ubuntu (Linux), Windows, AIX v7.1.0.0.Packages: Microsoft Power-point, Microsoft Access, and Visio, Word, Advanced Excel & Frontline Analytic Solver.Tools: Tableau Desktop, Juypter, Datastage.
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