Looking for a job

prasanna sai

@prasannasai

Message

Data Engineer at UBS India building Azure Market Risk pipelines and migrating SSRS reports to Power BI.

India

Message

At UBS India, I build Azure Data Factory and Databricks pipelines for Market Risk reporting, using PySpark and Delta Lake. I also developed and optimized Power BI and SSRS/RDL reports, including FRTB regulatory reporting.

I independently migrated 30+ SSRS/RDL reports to Power BI as part of a wider migration involving 400+ reports, reducing refresh time by 60%. At Credit Suisse, I developed a Python API that automated limit-value sourcing and reduced processing time by 85%.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer, Market Risk Reporting

Current

UBS India Pvt Ltd.

Jan 2024 - Present (2 years 9 months)

Designed and orchestrated end-to-end ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and PySpark. Developed and optimized PySpark notebooks, implemented Medallion Architecture, and led production support for a seven-member team.

Azure Data Factory Azure Databricks PySpark ADLS Gen2 Delta Lake Medallion Architecture Incremental Loading Spark Optimization Power BI SSRS SQL FRTB Market Risk

Associate Data Engineer

Credit Suisse India Pvt Ltd.

Jan 2021 - Dec 2023 (2 years 11 months)

Automated limit-value sourcing by developing a Python-based API, reducing processing time by 85%. Automated report-script execution using Excel VBA, reducing execution time from 4-5 hours to approximately 20 minutes.

Python Flask REST APIs Excel VBA SQL Stakeholder Management Release Management

Technology Analyst, Scenarios

Credit Suisse India Pvt Ltd.

Oct 2019 - Jan 2021 (1 year 3 months)

Analyzed SonarQube reports to identify bugs, code smells, and maintainability issues. Reviewed and refactored existing .NET code to resolve quality issues and improve maintainability.

SonarQube .NET Code Review Refactoring

Intern, Software Engineering

Juniper Networks Pvt Ltd.

Feb 2019 - Oct 2019 (8 months)

Developed a centralized Python repository tool to manage and reuse platform-specific configuration values across multiple scripts, eliminating redundant manual updates and improving efficiency by 70%.

Python Scripting Configuration Management