Shankar P
@shankarp
Data Engineer focused on scalable Azure ELT pipelines, event-driven ingestion, and high-integrity analytics-ready data.
IndiaWhat I'm looking for
I’m a Data Engineer specializing in scalable ELT pipelines, event-driven workflows, and high-integrity data platforms on Azure. I’ve owned end-to-end pipelines processing 1M+ records/day, built near real-time ingestion for faster analytics delivery, and improved availability by 40%.
I bring strong data engineering discipline—data quality frameworks (schema checks, anomaly detection), cleansing/normalization/deduplication, and governance—to ensure reliable datasets for BI and analytics. From building PySpark pipelines in Databricks to designing Bronze–Silver–Gold Delta Lake architectures, I translate business requirements into production-grade systems and optimize performance and cloud costs.
Experience
Work history, roles, and key accomplishments
Junior Data Engineer
ARCAP REIT
Jul 2025 - Present (9 months)
Owned end-to-end ELT pipelines processing 1M+ records/day from APIs, CRM, and databases, improving availability by 40%. Built event-driven/near real-time workflows in Azure Data Factory and developed SQL & PySpark transformations with data validation frameworks, improving accuracy by 30% and reducing PostgreSQL query latency by 25%.
Data Engineer
Sodexo
Sep 2020 - Oct 2021 (1 year 1 month)
Designed scalable ELT pipelines integrating CRM, APIs, and enterprise datasets into Azure and built PySpark/Databricks pipelines that improved processing efficiency by 35%. Implemented data validation and cleansing/normalization, dimensional star-schema models for BI reporting, and optimized Spark workloads (partitioning/caching) to reduce processing time by 30%.
Education
Degrees, certifications, and relevant coursework
Osmania University
Master of Business Administration, Finance
Completed an MBA with a focus on Finance at Osmania University.
MLR Institute of Technology
Bachelor of Engineering, Mechanical Engineering
Completed a Bachelor of Engineering in Mechanical Engineering from MLR Institute of Technology.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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