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adhyatm mishra

@adhyatmmishra

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I build scalable cloud ETL pipelines and Dashboards for analytics.

India

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What I'm looking for

I'm looking to build scalable cloud data pipelines and lakehouse solutions, improve data quality and performance, and deliver reliable analytics-ready datasets.

I'm building scalable ETL/ELT pipelines and cloud data platforms with Databricks, PySpark, Python, SQL, and AWS services.

At Task Source Pvt Ltd, I design and maintain pipelines using Databricks, AWS Glue, and PySpark to ingest, transform, and load large-scale data. I build batch workflows processing 5–20 GB daily and create reporting-ready data models in Azure Data Lake Gen2 that support Power BI decision-making.

Previously, as a founding member at Stellar8 Labs, I helped establish data engineering practices, development standards, and scalable infrastructure during the company’s early growth phase.

I’ve developed end-to-end ingestion frameworks across AWS S3 and Databricks, optimized Delta Lake tables, and implemented data-quality checks for structured and semi-structured datasets.

Experience

Work history, roles, and key accomplishments

Data Engineer

Task Source

Oct 2024 - Jan 2026 (1 year 3 months)

Built and optimized PySpark transformation logic in Databricks to cleanse, enrich, and standardize structured and semi-structured datasets for downstream analytics.
Delivered Power BI dashboards by building well-structured, reporting-ready data models.

Python SQL Power BI Databricks PySpark