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Sanket Badade

@sanketbadade

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I build Azure lakehouse pipelines for reliable real-time and batch analytics.

India

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What I'm looking for

I'm looking for a data engineering role where I can build reliable batch and real-time Azure pipelines, strengthen my lakehouse and data modeling skills, and contribute to analytics-ready datasets and dashboards.

I've built Azure-based batch and real-time data pipelines using Azure Data Factory, Databricks, PySpark, Delta Lake, and Azure Event Hubs. At Equinox Software and Services, I automated ETL workflows, improved data quality across 10+ business tables, and prepared structured datasets for reporting and dashboards.

My projects include a real-time customer lakehouse that processed 200K+ streaming records and reduced Silver-layer latency to under 10 seconds, plus a telecom analytics platform that ingested multi-source data and modeled operational reporting with a Galaxy Schema. I enjoy building governed Medallion Architecture pipelines with schema enforcement, SCD logic, and business-ready Power BI outputs.

Experience

Work history, roles, and key accomplishments

Data Engineer Intern

Equinox Software and Services Pvt Ltd

Oct 2025 - Nov 2025 (1 month)

Built automated ETL pipelines using Azure Data Factory and Databricks to move structured datasets into cloud storage, eliminating repetitive manual data-handling tasks. Applied PySpark and SQL transformations to clean raw datasets, filter missing values, and remove duplicates across 10+ core business tables.

Azure Data Factory Azure Databricks PySpark SQL ETL Data Cleaning Data Quality Databricks