Srikanth Erukulla

Client: Reckitt Benckiser

• Developed Pipelines following medallion architecture to provide data to end user and reporting teams.
• Designed and implemented data pipelines in ADF integrating multiple sources such as ERP,SAP and in-house systems.
• Implemented PySpark code to create fact and dimension tables, handling diverse datasets from various sources, and orchestrated the process using Azure Data Factory (ADF).
• Extensive experience with Parquet and Delta file formats
• Led cost optimization initiatives and resolved technical debt to enhance system performance and reduce expenses.
• Collaborated with Data Stewards to implement Data Quality Reports and improve data accuracy
• Part of CO2AI Emissions project, calculating carbon footprint in Reckitt products, and has functional knowledge of FMCG
• Familiar with Azure analysis Services and Power BI

Client: FedEx. (Mar 2020-Apr2023)

• Worked on development of application for assigning Failure reason codes to late delivery packages using PySpark
• Migrated GCP Big queries to PySpark and Scala code in Pycharm and deployed jobs in Azure Databricks.
• Extensive experience working with Parquet and delta tables
• Worked on performance tuning of jobs using different spark techniques and reduced job time.
• Has idea on CI/CD for Databricks. Worked with yaml files for path and schema configurations of job.

Client: Tata Tele Services Ltd. (May 2019-Mar 2020)

• Developed shell scripts to ingest Flat files data from FTP server to Database using SQL Loader and performed various Transformations, derived KPI’s on loaded data and forwarded data to upstream for BI purposes.
• One-to-One communication with clients to fulfill their requirements