Open to opportunities

Bhim Sen

@bhimsen

Message

Senior Azure Data Engineer specializing in lakehouse ETL/ELT and analytics performance.

Canada

Message

What I'm looking for

I’m looking for a role where I can build and optimize Azure lakehouse and ETL/ELT platforms, strengthen data governance and security, and partner with BI teams to deliver fast, reliable reporting and real-time analytics.

I’m a Senior Azure Data Engineer with 5+ years designing, implementing, and optimizing scalable data solutions across the Microsoft Azure ecosystem. I build end-to-end ETL/ELT pipelines using Azure Data Factory, Azure Databricks, Python, and PySpark to support reliable ingestion and transformation.

I architect Lakehouse environments with Delta Lake and Azure Databricks using Bronze, Silver, and Gold layers to maintain efficient data governance. I’ve implemented high-performance analytics platforms with Azure Synapse Analytics for real-time reporting and large-scale warehousing, and I focus heavily on performance tuning for ETL jobs, SQL queries, and pipelines.

I strengthen security and operational robustness by enforcing encryption and access control policies with Azure Key Vault, including managing secrets and sensitive configuration. I also automate daily ETL workflows, reducing manual intervention and data processing time by 25%, and I integrate Microsoft Fabric to enable unified access to analytics and reporting.

Experience

Work history, roles, and key accomplishments

Current

Azure Data Engineer

Current

Divit Data Solutions

May 2024 - Present (2 years 2 months)

Developed and maintained enterprise data architecture, including data models and Lakehouse design using Delta Lake and Azure Databricks with Bronze/Silver/Gold layers. Built and tuned ETL/ELT pipelines, enforced data quality and governance, and supported real-time analytics and reporting with Azure Synapse Analytics and Power BI integration.

Azure Data Factory Azure Databricks Python SQL Pyspark Delta Lake Lakehouse Data Governance Data Quality ETL ELT Azure Synapse Azure Blob Storage Azure Key Vault Microsoft Fabric Snowflake Power BI Encryption Access Control

Data Engineer

Accenture

Nov 2020 - Dec 2022 (2 years 1 month)

Designed and implemented scalable Azure-based data pipelines using Azure Data Factory, Azure Data Lake Storage, and Azure Synapse Analytics for reliable, high-performance processing. Built end-to-end ETL/ELT workflows with Python and PySpark and delivered analytics through Azure Databricks and Power BI, including batch and real-time ingestion using event-driven architectures.

Azure Data Factory Azure Storage Azure Synapse Azure Stream Analytics Event Driven Architecture Python Pyspark ETL ELT Data Modeling SQL Azure Databricks Power BI Snowflake Cloud Data Warehousing Partitioning

Software Engineer – Data

Auribises Technology

Jan 2020 - Aug 2020 (7 months)

Designed and supported scalable cloud-based data solutions on Microsoft Azure, building reliable data pipelines and analytics platforms. Implemented transformations with Python, PySpark, and SQL, and delivered batch and real-time ingestion architectures using Azure Stream Analytics with monitoring and data quality validation.

Microsoft Azure Python Pyspark SQL data transformation Reusable Processing Frameworks Lakehouse Cloud Data Warehousing Azure Stream Analytics Distributed Data Processing Data Quality Monitoring Logging Audit Performance Tuning Partitioning Indexing File Format Optimization

Software Engineer – Intern

Auribises Technology

Jul 2019 - Dec 2019 (5 months)

Assisted with application and data-focused development by writing maintainable code and supporting feature implementation in cross-functional teams. Contributed to ETL processes, data validation, and Azure deployments while gaining experience with distributed data processing concepts using Spark and PySpark.