Sirisha P

Experience

1. Data Engineer

   AT&T

   Feb 2023 — Present

   Developed Spark scripts by using Python in PySpark shell command in development. Experienced in Hadoop Production support tasks by analyzing the Application and cluster logs Created Hive tables, loaded with data, and wrote Hive queries to process the data. Created Partitions and used Bucketing on Hive tables and used required parameters to improveperformance. Developed Pig and Hive UDFs as per business use cases Worked on various data formats like AVRO, Sequence File, JSON, Map File, Parquet, and XML Created Pipelines in Airflow using Linked Services/Datasets/Pipeline/ to Extract, Transform, and loaddata from different sources like Cloud Azure SQL, Blob storage, Azure SQL Data warehouse, write-backtool, and backward Hands-on porting the existing on-premise Hive code migration to GCP (Google Cloud Platform)BigQuery Using rest API with Python to ingest Data to BIGQUERY Extract data from data lakes, EDW to relational databases for analyzing and getting more meaningfulinsights using SQL Queries and PySpark In-depth knowledge of. Snowflake Database, Schema, and Table structures.

Education

• Lamar University

  Master's degree

  2022 — 2023