Ankesh Jain
I’m Ankesh Jain, a senior data engineer with 10+ years of experience building end-to-end analytics and data engineering solutions across ETL/ELT, reporting, and scalable data platforms.
About
I’m Ankesh Jain, a senior data engineer with 10+ years of experience building end-to-end analytics and data engineering solutions across ETL/ELT, reporting, and scalable data platforms. I specialize in Azure Data Factory, Azure data platforms, and modern analytics stacks, turning raw data into reliable, business-ready datasets and dashboards.
I enjoy optimizing pipelines for speed and quality—automating transformations, adding data quality checks, and enabling fast self-service BI experiences with Power BI and Tableau. I also bring hands-on expertise with SQL Server/SQL, Databricks, Power BI (including DAX and Power Query), and scripting in Python/other tooling, along with experience delivering solutions that support large data volumes and hundreds of users.
- 10 years' experience
- Joined January 2026
Languages
- EnglishAdvanced
- HindiFluent
Industry experience
- Professional Services
- Software & Internet
- Media & Entertainment
- Education
- Financial Services
- Computers & Electronics
Work experience· 10 roles
Manage and design end-to-end Power BI solutions, creating and maintaining interactive dashboards and analytical reports for business stakeholders. Built and optimized scalable ETL/ELT data ingestion and transformation pipelines using Azure Data Factory. Manage and optimize SQL databases (authoring queries, stored procedures, views, and data models) to ensure reporting reliability and performance.
Optimized database quality standards through regular data validation and cleansing. Facilitated team meetings to review progress, challenges, and database management strategies. Developed custom ETL scripts in Python and SQL for data extraction, transformation, and loading. Designed robust validation frameworks to improve survey and reporting accuracy. Integrated advanced AI workflows to accelerate technology adoption across projects.
Analyzed large datasets to uncover trends, anomalies, and opportunities for business improvement. Designed dashboards and reports for non-technical stakeholders using modern BI tools. Led automation initiatives supporting multiple client engagements annually. Developed scalable analytics infrastructure, including automated workflows and dashboards. Migrated legacy workflows to Python, reducing turnaround time and licensing cost.
Education· 8
Certifications and awards· 6
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