Dinesh Kumar

Results-oriented Data Engineer with 4+ years of professional experience in designing, developing, and optimizing scalable data pipelines, ETL/ELT workflows, and cloud-based data solutions to support analytics, reporting, and business intelligence requirements. Hands-on expertise in PostgreSQL, Python, PySpark, Databricks, and Azure Cloud, with strong understanding of data engineering concepts, distributed data processing, and modern data platform architectures. Experienced in handling large-scale structured and semi-structured datasets while ensuring data quality, consistency, and high performance across enterprise systems.

Associate Engineer at Trident Group

Dec 2024 - Dec 2025

Executive at HNG Ltd.

July 2021 - Nov 2024

In my current experience, I have worked on industrial telemetry data pipelines involving machine and compressor data. My responsibilities include developing and maintaining data ingestion pipelines, implementing data cleansing and standardization in the Silver layer, developing business transformations in the Gold layer, and building metadata-driven Azure Data Factory pipelines. I have also worked with Databricks and Delta Lake for processing and managing large volumes of data.

I have hands-on experience with technologies including Azure Data Factory, Azure Data Lake Storage, Azure Event Hubs, Databricks, PySpark, Spark Structured Streaming, Delta Lake, SQL, and Python. I have worked on concepts such as incremental data loading, CDC, schema validation, deduplication, handling late-arriving data, partitioning, performance optimization, and Medallion Architecture.

B.Tech from GLA University Mathura with 7.85 CGPA in 2021