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ashish1697

ashish1697

India
About me
I'm a Data Engineer with 6+ years of professional experience, specializing in: • Azure Data Engineering & Data Factory • Databricks, PySpark & Delta Lake • Python, Pandas & SQL • Power BI, DAX & Power Query • ETL/ELT pipelines & data transformation • Data automation & troubleshooting • Palantir Foundry I help businesses turn raw, messy data into reliable pipelines, clean datasets and actionable dashboards. I focus on practical, scalable solutions with clean code, clear communication and proper documentation.... Read more

Skills

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ashish1697
ashish1697
Offline • 
Average response time: 1 hour

See my services

Data Engineering Consulting
I will build an azure data pipeline using data factory, python, sql or databricks
From$20 / projectMore details
Data Dashboards
I will create interactive power bi dashboards and reports
From$10 / projectMore details

Work experience

Swiss_Re

Senior Data Engineer

Swiss Re • Full-time

Aug 2024 - Present • 2 yrs 2 mos

Worked as a Senior Data Engineer at Swiss Re, developing enterprise data solutions across Azure and Palantir platforms. • Designed and developed scalable data pipelines and transformation workflows using Palantir Foundry and Azure • Built data processing solutions using Python, PySpark and SQL • Worked with Palantir Foundry for data integration, transformation, modeling and operational workflows • Developed cloud-based ETL/ELT pipelines using Azure Data Factory and Databricks • Implemented data quality, validation and transformation frameworks for reliable data products • Optimized data pipelines and processing workflows for performance and scalability • Collaborated with business, analytics and engineering teams to translate requirements into production-ready data solutions • Supported troubleshooting, deployment and maintenance of enterprise data pipelines

Deloitte

Azure Data Engineer

Deloitte • Full-time

May 2021 - Jun 2024 • 3 yrs 1 mo

Worked as an Azure Data Engineer at Deloitte, delivering enterprise data engineering and analytics solutions. • Designed and developed scalable ETL/ELT pipelines using Azure Data Factory and Databricks • Built data transformation workflows using Python, PySpark and SQL • Worked with Azure Data Lake, Delta Lake and SQL-based data platforms • Developed and optimized data models and Power BI reporting solutions • Implemented data quality, validation and transformation processes • Troubleshot pipeline failures, performance issues and data inconsistencies • Collaborated with business and technical teams to deliver reliable, production-ready data solutions • Worked with modern data platforms and cloud-based data engineering architectures