Dinesh Kumar
@dineshkumar19
I build scalable Azure data pipelines for reliable analytics-ready data.
ZimbabweWhat I'm looking for
I've built and supported scalable ETL/ELT pipelines at Lancesoft Engineering and Accenture using Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2.
I ingest relational database, API, and flat-file data; transform and aggregate it with PySpark and SQL; and load curated datasets into Azure Synapse Analytics for large-scale reporting. I also develop dimensional models, including star schemas, to support BI requirements.
For a retail Customer 360 platform, I built ADF ingestion pipelines, cleaned and merged customer records in Databricks, and created unified customer profile dimensions and transaction fact tables.
I've also supported near-real-time inventory and sales reporting with Azure Event Hubs, Azure Functions, Structured Streaming, Delta Lake, and Power BI. I focus on data quality, performance monitoring, partitioning, lifecycle policies, and CI/CD practices using Git and Azure DevOps.
Experience
Work history, roles, and key accomplishments
Data Engineer
Lancesoft Engineering
Apr 2024 - Present (2 years 4 months)
Designed, developed, and maintained scalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks. Ingested data from diverse sources into Azure Data Lake Storage Gen2 and performed complex transformations using PySpark and SQL.
Worked as a Software Associate, contributing to data engineering tasks including building and maintaining data pipelines and performing data transformations.
Education
Degrees, certifications, and relevant coursework
REVA University
Bachelor of Engineering, Electronics and Communication Engineering
2018 - 2022
Bachelor of Engineering in Electronics and Communication Engineering from REVA University, 2018-2022.
Tech stack
Software and tools used professionally
Availability
Location
ZimbabweAuthorized to work in
IndiaJob categories
Skills
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