Mar 2023 – Oct 2023 · 7 mos · On-site

• Collaborated with the business team of an American-based financial industry
• to drive business growth through data analysis and engineering.
• Utilized SQL, including MYSQL and SQL Server, to perform data analysis, write
• stored procedures, and create reports.
• Developed and implemented appropriate Azure data storage solutions, such
• as Azure SQL Database, Azure Data Lake Storage, and Azure Blob Storage,
• based on performance, scalability, and cost considerations.
• Designed and implemented Azure Pipelines to extract, transform, and load.
• Collaborated with cross-functional teams to ensure data accuracy, integrity,
• and availability for business decision-making.
• Maintained clear and concise documentation of data analysis processes and
• procedures for seamless knowledge transfer.

Nov 2021 – Mar 2023 · 1 yr 4 mos · Gurugram, Haryana, India

• Collaborated with the business team of a leading FMCG industry in the US, providing data engineering expertise to support their growth initiatives.
• Designed and implemented Azure and AWS pipelines for top CPG and FMCG brands, ensuring efficient data preparation and processing for business analytics.
• Conducted in-depth data analysis, leveraging Pyspark and SQL to write transformation scripts, perform data quality checks, and conduct data profiling.
• Ingested data from multiple resources, including Azure Storage, and processed it in Azure Databricks, ensuring seamless data flow and integration.
• Implemented data quality checks and validation processes, resulting in a 25% reduction in data anomalies and improved overall data integrity.
• Collaborated closely with the IT team to troubleshoot and resolve data-related issues, contributing to a 10% reduction in support tickets related to data discrepancies.
• Demonstrated proficiency in SQL, Python, Pandas, NumPy, and other relevant tools and technologies.
• Utilized project management skills to effectively manage data engineering projects and deliver high-quality results.
• Leveraged AWS Glue, Azure Data Factory, Databricks, Amazon S3, and Power BI to optimize data engineering processes and enhance data visualization capabilities.

Jun 2021 – Jul 2021 · 1 mo · Remote

• Collecting and storing of sales data of different outlet, finding trends in the data based on the trend predict a
• optimal business solution, collection of different market research data and predict the model according to market
• research, scrapping of data from different resources

Jul 2017 – Aug 2017 · 1 mo · Dadri, Uttar Pradesh, India