Sameer Kumar

I am a Data Engineer with around 3 years of experience building scalable data solutions using Azure Data Factory, Azure Databricks, PySpark, Python, SQL, Delta Lake, ADLS, and Power BI. In my current role as a Software Engineer II at MAQ Software, I work across the complete data pipeline lifecycle—from understanding business requirements and developing ingestion pipelines from scratch to data transformation, validation, optimization, monitoring, troubleshooting, and production support.

I have experience building batch and Spark Structured Streaming pipelines, processing multi-terabyte datasets, implementing Medallion (Bronze/Silver/Gold) architectures, and developing incremental/CDC-based ingestion solutions. I have also worked on schema validation, anomaly detection, data modeling, REST API integrations, and CI/CD using Azure DevOps, Git, ARM templates, and automated testing.

Some of my key achievements include reducing ingestion-related support issues by 30%, reducing dataset size by 50% through data model optimization, and improving delivery time by 30% through CI/CD automation. I have also developed 15+ Power BI reports and worked on an Azure OpenAI-based solution using prompt engineering.

I am particularly interested in Data Engineering, Big Data, distributed processing, Databricks, Apache Spark, cloud data platforms, lakehouse architectures, real-time data processing, and building reliable, high-performance data pipelines. I am looking for opportunities where I can solve large-scale data engineering problems, deepen my expertise in modern cloud and data technologies, and contribute to scalable production data platforms.