Sai M Bojedla
Data Engineer @General Motors
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WORK HISTORY
Data Engineer @General Motors
ON, CA
Involved in Complete Software Development Life Cycle (SDLC) process by analyzing business requirements and understanding the functional workflow of information from source systems to destination systems. • Experience in migrating SQL database to Azure data lake, Azure data lake Analytics, Azure SQL Database, Data Bricks, and Azure SQL Data Warehouse and Controlling and grating database access and migrating On-premise databases to Azure Data Lake Store using Azure Data Factory. • Experience in Developing Spark Applications using Spark – SQL in Databricks for data extraction, transformation, and aggregation from multiple file formats for analyzing & transform the data to uncover insights into customer usage patterns. • Experience in Database design and development with Business Intelligence using SQL Server 2014/2016, Integration Services (SSIS), DTS Packages, SQL Service Analysis Services (SSAS), DAX, OLAP Cubes, Star Schema, and Snowflake Schema. • Extract Transform and Load data from source systems to Azure data Storage services using a combination of Azure Data Factory, T-SQL, Spark SQL, and Azure Data Lake Analytics and processing the data in Azure Databricks. • Responsible for estimating the cluster size, monitoring, and troubleshooting the Spark Databricks cluster. • Designed complex data-intensive reports in Power BI utilizing various graph features. • Stay up-to-date with new Azure services and technologies and evaluate their potential for improving data storage and processing solutions. • Experience with Azure DevOps CI/CD pipelines to deploy Azure resources.
EDUCATION
Jawaharlal Nehru Technological University
Bachelors Degree
ABOUT SAI M BOJEDLA
3+ years of design, development, and deployment of data pipelines. • Experience with different ETL pipeline and patterns. • Experience with building Data pipelines using Apache Spark, Kafka, AWS. • Designed, Developed, Tested, Implementation and Postproduction support using development methodologies like Agile/Kanban. • Hands-on experience with Cloud as well Git. • Expert in analyzing defects/issues reported by clients and providing root cause and timeframe to fix the defects. • Analyzed logs and graphs in Splunk as a part of defect tracking and identifying the root cause • Strong programming, unit testing & debugging skills in SQL, Python, or Scala/Java. • Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV. • Experience working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps.
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