Looking for a job

Prayanshu Sharma

@prayanshusharma

Message

Azure Data Engineer at Infosys Limited who built Snowflake pipelines that cut processing time by 30%.

India

Message

At Infosys Limited, I design and develop metadata-driven ETL/ELT pipelines with Azure Data Factory, bringing data from SQL Server, Azure SQL DB, REST APIs, and flat files into Snowflake. I also built and maintained workflows across Bronze, Silver, and Gold layers, and used DBT to reduce data processing time by 30%.

I monitor and optimize Snowflake pipelines and Talend workflows, while automating logging, retries, and alerts to reduce manual effort by 40%. Earlier, as a System Engineer Trainee at Infosys Limited, I built cloud data pipelines processing more than 1 million records daily with 99% reliability.

Experience

Work history, roles, and key accomplishments

Current

Senior System Engineer

Current

Infosys Limited

Oct 2022 - Present (4 years 1 month)

Designed and developed metadata-driven ETL/ELT pipelines using Azure Data Factory and Snowflake, reducing data processing time by 30%. Monitored and optimized pipelines, enforced data quality, and reduced manual effort by 40%.

Azure Data Factory Snowflake SnowSQL DBT Talend ADLS Power BI Excel SQL Data Modeling Medallion Architecture Data Quality Governance CI CD

System Engineer Trainee

Infosys Limited

Oct 2022 - Mar 2023 (5 months)

Built scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics, processing 1M+ records daily with 99% reliability. Improved data processing performance by 20% and reduced query execution time by 15%.

Azure Data Factory Azure Databricks Azure Synapse Power BI SQL ETL Data Integration