Sai S

About Sai S

Passionate Data Engineer with expertise in transforming raw data into actionable insights. Proficient in designing scalable data pipelines, implementing ETL processes, and optimizing architectures across Data Warehousing, PySpark, Data Lake, and technologies like Oracle, Teradata, SQL Server, AWS, and Apache Hadoop. Accomplished in crafting complex SQL queries, Tableau visualizations, and managing cloud migration projects (AWS, Redshift, Azure). Adept at collaborating with cross-functional teams, mentoring, version control, and consistently delivering successful BI projects. Committed to innovation, staying abreast of industry trends, and contributing expertise to drive organizational success in data engineering. Ready for new challenges. Email : s••••••••@gmail.com Phone :48••••••44

Experience

1. Senior Data Engineer

   Exabeam

   Jun 2022 — Present

   Developed generic Spark Ingestion code that queries data from multiple data sources (Oracle, Teradata, SAP, RDS) and writes Data to AWS S3. • Providing E2E solutions for Enterprise Data Management including Data Architecture, Designing and Architecting Data (Quality, Governance), Metadata Management, Designing & Coiling Data Strategy, Master Data Management and Data Modelling-Conceptual, Logical & Physical. • Worked in Agile Data Modeling methodology and creating data models in sprints in SOA architecture and involved with delivery of complex enterprise data solutions with comprehensive understandings in Architecture, Security, Performance, Scalability, and Reliability. • Developed Databricks Notebooks to generate the hive create statements from the data and load the data into the table. • Developed Python code that is used for orchestration of all batch process including batch and file-based processing. • Developed HQL’s to transfer data between source table and target tables. • Responsible for full data loads from production to AWS Redshift staging environment and worked on migrating of EDW to AWS using EMR and various other technologies. • Worked on designing Conceptual, Logical and Physical data models and performed data design reviews with the Project team members. • Expertise in converting AWS existing infrastructure to server less architecture (AWS Lambda, Kenesis) and deployed via Terraform or AWS Cloud formation

Education

• Jawaharlal Nehru Technological University

  Bachelor's degree, Computer Science