Banoth Santhosh

About Banoth Santhosh

Data Engineer | Cloud & Analytics | Azure | GCP | Power BII am a results-driven Data Engineer with 2.5+ years of experience in building scalable data pipelines, cloud-based analytics solutions, and high-performance reporting systems. With a strong foundation in Electronics & Communication Engineering, I bring a unique blend of analytical thinking and practical engineering to solve complex data problems.Currently, I work as a Data Engineer at HCL Technologies, delivering enterprise-grade data solutions for global clients. I have hands-on experience across Azure and Google Cloud, working with technologies such as Azure Synapse, Azure Data Factory (ADF), Microsoft Fabric, Power BI, Azure DevOps, Kusto, and GCP services like BigQuery, Cloud Run, Pub/Sub, and Cloud Functions.My role involves end-to-end data engineering—from data ingestion and transformation to modeling, optimization, and visualization. I’ve designed and optimized ETL pipelines, improved query performance, implemented secure Power BI models with RLS, and enabled real-time business insights that drive decision-making.I’m passionate about:Building scalable, reliable data platformsOptimizing data workflows and performanceTurning raw data into actionable insightsContinuously learning and adapting to new cloud technologiesI enjoy collaborating with cross-functional teams and contributing to data-driven solutions that create real business impact. Let’s connect if you’re interested in data engineering, cloud analytics, or discussing emerging trends in the data space. Certifications & Achievements 90 Percentile – JEE Mains, Qualified JEE Advanced

Experience

1. Data Engineer

   HCLTech

   Oct 2023 — Present

   Built and optimized GCP data pipelines using Cloud Run, Pub/Sub, Cloud Functions, and Dataflow, automating multi-source data ingestion and improving overall data processing efficiency by 35%.• Developed robust Python- and SQL-based ETL frameworks for data validation, cleansing, and transformation, reducing manual intervention and data errors by 50%.• Designed and implemented API-driven data pipelines using Node.js, GCP services (Cloud Run, Pub/Sub, BigQuery), and SQL, accelerating data migration and transformation by 30% and reducing report turnaround time for business teams by 15%.• Engineered optimized Power BI data models with Row-Level Security (RLS), improving dashboard refresh performance and data security by 30%, enabling real-time KPI monitoring for sales and operations teams.• Optimized SQL queries through effective indexing and partitioning strategies, reducing query latency by 40% and enabling faster analytical insights.

Education

• National Institute of Technology, Jalandhar, Punjab, India

  Bachelor of Technology, Electrical, Electronics and Communications Engineering