Sfoglia categorie
Esplora
Fiverr Pro
Italiano
$
USD
ashish1697
India
Chi sono
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.
Competenze
ashish1697
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Consulenza Data engineering
I will build an azure data pipeline using data factory, python, sql or databricks
Dashboard dati
I will create interactive power bi dashboards and reports
Esperienza lavorativa
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
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
