Suresh Kumar Hb

About Suresh Kumar Hb

Highly creative and passionate to learn new Technology. Self motivated, Confident and able to work under stressed circumstances without losing focus on quality of work.(Looking for overseas opportunities in European countries)Currently working on a large insurance data warehouse project, which includes Azure synapse, Azure Datalake Analytics,Azure Storage Gen1 and Gen2,Logic App,Azure Event Hub,Azure Data Factory.Azure SQL Database.

Experience

1. Architect

   Persistent Systems

   Jul 2025 — Present · Edison, NJ, US

   Design and Architect Cloud Data Platforms:Develop scalable, secure, and high-performance data architectures using Microsoft Azure and Google Cloud Platform (GCP) aligned with business and analytics requirements. • Build End-to-End Data Pipelines:Use Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics to create robust ETL/ELT pipelines for batch and real-time data processing. • Implement Data Lakehouse & Modern Data Architectures:Architect and optimize data lake and lakehouse environments leveraging Delta Lake, Databricks, and Synapse. • Develop Serverless & Event-Driven Solutions:Utilize Azure Functions, Logic Apps, and Event-based architectures to automate data workflows and integrate enterprise systems. • Optimize Big Data Processing & Performance:Tune Databricks clusters, SQL queries, and data pipelines to ensure cost-efficient and performance-optimized operations. • Data Modeling & Storage Optimization:Design logical and physical data models, implement partitioning strategies, and optimize storage layers in Azure Data Lake and Azure SQL. • Implement Security, Governance & Compliance:Apply best practices in data security, identity management, data masking, RBAC, encryption, and compliance frameworks across cloud data platforms. • Cloud Integration & Orchestration:Integrate multiple data sources (on-premises and cloud) using ADF, Synapse pipelines, and API-driven services. • Multi-Cloud Data Engineering (Azure & GCP):Build and support data pipelines using GCP Dataflow, Cloud Run, and AutoML, enabling hybrid/multi-cloud analytics solutions. • Automate Data Quality & Monitoring:Implement automated validation, monitoring, and alerting for pipelines and cloud resources to ensure reliability and SLA adherence. • Documentation & Best Practices:Maintain architecture diagrams, data flow documentation, and cloud governance standards to guide development teams.

Education

• Dr DY Patil College of Engineering Akurdi Pune

  BE - Bachelor of Engineering, Computer Science

  2008 — 2012