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navin_shah

Navin Shah

@navin_shah

Data Engineer Data Architect Azure Databricks Microsoft Fabric

India
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Data Engineer and Data Architect with 10+ years of experience working with global technology companies. I specialize in Azure, Databricks, Microsoft Fabric, PySpark, Python, SQL, Spark, Delta Lake, OneLake and Power BI. I build scalable ETL/ELT pipelines, lakehouse and data warehouse solutions, data models, and analytics platforms. I also help troubleshoot and optimize data pipelines, improve performance, and implement data quality, security and governance.... Continua a leggere

Competenze

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navin_shah
Navin Shah
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Consulenza Data engineering
I will build microsoft fabric data pipelines and lake house solutions

Portfolio

Esperienza lavorativa

KGroup_Global Services

Senior Data Engineer

KGroup Global Services • Full time

May 2026 - Sep 2026 • 4 mos

• Design Lakehouse architecture based on Medallion architecture on MS Fabric • Migrate legacy system to Lakehouse architecture • Designed and implemented automation workflows and Azure services including Azure Data Factory and data bricks on Fabric • Monitor data pipelines, troubleshoot issues and implement optimization for performance and reliability. • Built and monitored interactive dashboards and reporting solutions using Power BI, integrating with Fabric and Databricks for real-time data insights as part of the data engineering ecosystem. • Automated business processes and optimized database integration using Python, Apache Spark, Databricks, and cloud-based ETL pipelines. Delivered scalable analytics solutions across hybrid environments, supporting advanced data modeling and performance tuning. • Manage and Lead team to meet SLA and work flows. • Monitor and support job failure for different jobs running across different platform like Talend, Databricks, Fabric, SSIS, ADF.

Coforge

Technical Lead

Coforge • Full time

Jul 2025 - May 2026 • 10 mos

• Develop, test, and deploy data ingestion, transformation and processing using Azure services • like Azure Data Factory, Azure Data Lake Storage, Talend, Microsoft Fabric based on medallion architecture • Designed and implemented automation workflows and Azure services including Azure Data Factory and Fabric Powe BI • Monitor data pipelines, troubleshoot issues and implement optimization for performance and reliability. • Built and monitored interactive dashboards and reporting solutions using Power BI, integrating with Azure and Databricks for real-time data insights as part of the data engineering ecosystem. • Automated business processes and optimized database integration using Python, Apache Spark, Databricks, and cloud-based ETL pipelines. Delivered scalable analytics solutions across hybrid environments, supporting advanced data modeling and performance tuning. • Manage and Lead team to meet SLA and work flows. • Monitor and support job failure for different jobs running across different platform like Talend, Databricks, Fabric, SSIS, ADF.

Resurgent_Enterprise Solutions

Senior Data Engineer

Resurgent Enterprise Solutions • Full time

Dec 2023 - May 2025 • 1 yr 5 mos

• Develop, test, and deploy data ingestion, transformation and processing using Azure services • like Azure Data Factory, Azure Data Lake Storage, Microsoft Fabric • Designed and implemented medallion architecture ,automation workflows and Azure services including Azure Data Factory • Monitor data pipelines, troubleshoot issues and implement optimization for performance and reliability. • Built and monitored interactive dashboards and reporting solutions using Power BI, integrating with Azure and Databricks for real-time data insights as part of the data engineering ecosystem. • Automated business processes and optimized database integration using Python, Apache Spark, Databricks, and cloud-based ETL pipelines. Delivered scalable analytics solutions across hybrid environments, supporting advanced data modeling and performance tuning. • Data transformation using PySpark and python for ETL/ELT pipeline. • Develop CI/CD along with SCD I/II with GitHub action for streaming data.