Nishant Mishra — Data Engineer

Senior Data Engineer with 5+ years of experience designing and building scalable data platforms, cloud-native ETL/ELT pipelines, and modern data warehousing solutions that transform raw data into actionable business insights. Skilled in SQL, Python, Apache Spark, PySpark, Azure Data Factory (ADF), Azure Storage, and Databricks, with hands-on experience developing reliable, high-performance data pipelines across cloud environments. Experienced in data ingestion, transformation, orchestration, and optimization, with a strong focus on scalability, performance, and data quality. Strong foundation in data modeling, including conceptual, logical, and physical data models, as well as dimensional modeling techniques such as Star Schema and Snowflake Schema. Experienced in designing business-aligned fact and dimension models that support analytics and reporting requirements. Worked extensively with SQL Server, MySQL, and Oracle databases, along with diverse data formats including CSV, JSON, and Parquet. Familiar with Power BI and Amazon QuickSight for enabling data-driven decision-making and delivering meaningful business insights. Passionate about building end-to-end data solutions—from data ingestion and transformation to modeling and analytics—while ensuring governance, reliability, and long-term scalability. I enjoy translating complex business requirements into efficient, future-ready data architectures that create measurable business value. Open to connecting with professionals in Data Engineering, Cloud, Analytics, and Big Data.

Stackforce AI infers this person is a Data Engineering expert in cloud-native solutions and scalable data architectures.

Location: Hyderabad, Telangana, India

Experience: 5 yrs 8 mos