Nikhil M

About Nikhil M

A results-driven data and cloud professional with a strong track record across DevOps, data engineering, and analytics. I bring hands-on experience with the Azure ecosystem, including Azure Data Factory, Azure Databricks, Synapse Analytics, and Data Lake Storage Gen2, where I build secure, scalable, and automated data pipelines that power enterprise reporting and analytics. On the analytics side, I transform raw data into actionable insights using Power BI, SQL, and DAX, delivering clean, interactive dashboards that help stakeholders make informed decisions. I ensure data accuracy and consistency by applying data validation checks, modeling best practices, and performance tuning. I’ve led cross-functional teams and delivered projects on time by aligning stakeholders, clearing blockers, and driving Agile execution. I bridge the gap between technical and business teams, ensuring alignment from planning to delivery. I\'m also well-versed in CI/CD, cloud automation, and DevOps practices, using tools like Azure DevOps to streamline development and operations. I care deeply about data quality, governance, and security, implementing RBAC, Key Vault, and secure data sharing across environments. I believe that great data solutions come from a mix of technical skills, business understanding, and team collaboration. Driven by curiosity and a passion for innovation, I’m constantly upskilling to stay ahead in the fast-evolving data landscape. Whether it’s building a pipeline, designing a dashboard, or leading a delivery sprintI bring clarity, consistency, and a results-first mindset.

Experience

1. Data Engineer

   Microsoft

   Aug 2024 — Present

   Designed, developed, and maintained ETL pipelines to process structured and unstructured data from multiple sources.Built and optimized data models, warehouses, and lakes to support analytics and reporting.Worked with tools like SQL, Python, Spark, and Airflow for scalable data processing and automation.Collaborated with data scientists and BI teams to provide clean, reliable datasets for machine learning and analytics.Implemented data quality checks, validation, and monitoring to ensure accuracy and consistency.Migrated and optimized data workflows on cloud platforms (AWS / Azure / GCP) for performance and cost efficiency.Developed real-time and batch data pipelines to enable faster business insights.Improved query performance and reduced processing costs by tuning SQL queries and optimizing storage formats.Ensured data governance, security, and compliance in line with organizational standards.Partnered with stakeholders to translate business requirements into scalable data solutions.

Education

• Osmania University, Hyderabad

  B.Tech

  2014 — 2018

• Cleveland State University

  Master's degree

  2022 — 2024