Shivendra Singh
Hi, my name is

Shivendra Singh.

I build scalable data pipelines on Azure.

Data Engineer | Analytics Engineer | BI Developer

I have 3+ years of experience engineering robust data solutions. My focus is on automation, data quality, and performance tuning within the Azure ecosystem.

Check out my projects Contact Me Resume

Technical Expertise

Data Engineering

ETL/ELT Pipeline Development & Ops

Azure Data Factory Azure Databricks ADLS Gen2 PySpark Logic Apps Key Vault

Data Processing

Transformation & Optimization

Delta Lake Spark SQL Python SQL Optimization Medallion Architecture

Reliability & BI

Monitoring & Analytics

Data Quality CI/CD Power BI Star Schema Error Handling

Certifications

Azure Data Engineer Associate

Microsoft Certified: DP-203

Azure Fundamentals

Microsoft Certified: AZ-900

Databricks Lakehouse Fundamentals

Databricks

Featured Projects

End-to-End Azure Data Pipeline

A complete production-style data pipeline ingesting data from APIs to ADLS Gen2, transforming it via Databricks (Medallion Architecture), and orchestrating with ADF.

ADF Databricks PySpark Delta Lake

Metadata-Driven Ingestion

Automated ingestion framework using metadata tables to driver generic ADF pipelines, supporting both full and incremental loads across multiple sources.

ADF SQL Dynamic Pipelines Automation

Data Quality & Monitoring

comprehensive framework for data observability, including schema validation, null checks, and automated alerting via Logic Apps.

PySpark Logic Apps Monitoring Observability

Analytics & BI Layer

Dimensional modeling (Star Schema) and Power BI reporting on top of the Gold layer to derive actionable business insights.

Power BI Star Schema SQL DAX

Why Work With Me

Problem Solver

I don't just fix errors; I investigate the root cause to build resilient, long-term solutions.

Clear Communication

I bridge the gap between complex data engineering and business goals, ensuring transparency.

Ownership

I take full responsibility for my pipelines, from initial design to production monitoring.