Seranya Jakkireddy

4.2 years of professional experience in IT with 4.2 years of relevant experience as an Azure Data Engineer, proficient in Python, Azure Data Factory, Spark, PySpark, Azure Databricks, ADLS, Blob Storage, and SQL.

Enhanced

PySpark code efficiency by implementing advanced partitioning strategies, caching interim results, and tuning configuration settings in Azure Databricks to drive performance gains. Hands-on experience in Python and Spark, including Spark Core and Spark SQL, focusing on optimizing data workflows and streamlining processing tasks.

Utilized

Spark to create RDDs and DataFrames, improving data transformation and ingestion processes. Deep expertise in data modeling and warehousing, including Star and Snowflake schemas, and working extensively with Fact and Dimension tables. Proficient in Python, SQL, and scripting languages, with a focus on developing custom data solutions and automating processes within big data environments.

Azure Data Engineer at HCL Technologies Pvt. Ltd. (2021-11 – 2026-01)

Professional experience as an Azure Data Engineer working on various data engineering projects and solutions.

• Enhanced PySpark code efficiency by implementing advanced partitioning strategies, caching interim results, and tuning configuration settings in Azure Databricks
• Hands-on experience in Python and Spark, including Spark Core and Spark SQL, focusing on optimizing data workflows
• Utilized Spark to create RDDs and DataFrames, improving data transformation and ingestion processes
• Deep expertise in data modeling and warehousing, including Star and Snowflake schemas
• Designed and implementing end-to-end ETL pipelines using PySpark
• Expertise in managing data lakes and data warehouses with storage optimization and lifecycle management

B.Tech in Computer Science and Engineering (CSE) – Acharya Nagarjuna University (2020)