
Yash aradhya
@yasharadhya
I modernize SAP data platforms into Microsoft Fabric Lakehouses, pipelines, and business reporting solutions.
What I'm looking for
At Mercedes-Benz Research and Development India, I lead SAP-to-cloud modernization initiatives, migrating legacy SAP data flows into Microsoft Fabric. I design Bronze, Silver, and Gold Lakehouse architectures and build PySpark and SQL notebooks for high-volume transformations.
I also built a custom PowerApps portal that lets business users upload operational data and trigger Fabric pipelines. Alongside cloud delivery, I maintain SAP BW Planning, hierarchies, BW queries, and Analysis for Office reporting assets, including real-time finance dashboards in SAP Analytics Cloud.
Previously, I delivered end-to-end data warehousing solutions for Cargill at Deloitte USI and Nestlé at Tech Mahindra. I've built BW on HANA data flows, ADSOs, Composite Providers, ABAP and AMDP solutions, custom extractors, and process chains across finance, supply chain, marketing, and production analytics.
Experience
Work history, roles, and key accomplishments
Senior Consultant
Mercedes-Benz Research and Development India
Oct 2023 - Present (2 years 11 months)
Spearheading data modernization initiatives migrating legacy SAP instances into Microsoft Fabric cloud environments. Designing and implementing Medallion Architecture with PySpark/SQL notebooks and building custom PowerApps for automated data ingestion.
Engineered and deployed end-to-end data warehousing flows supporting global business analytics. Provided L2/L3 production support, debugging and custom bug fixes to minimize pipeline downtime.
Managed high-stakes client deliverables as a solo developer within Scrum structures, earning multiple client commendations. Designed Advanced DSOs and Composite Providers for scalable data staging and high-performance operations.
Education
Degrees, certifications, and relevant coursework
Bachelor of Engineering (B.E.) in Computer Science
Bachelor of Engineering, Computer Science
Bachelor of Engineering in Computer Science.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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