Suresh Pinnika

About Suresh Pinnika

Career Summary : 10 years of Extensive Experience in Business Intelligence applications design, development and Maintenance of Azure solutions / Microsoft BI solutions • Good Experience in Database Design, Data modelling, Development, Implementation, ETL/ELT,Data Visualization and Reporting • Extensive experience in the implementation, integration and development of marketing strategies within a team oriented environment, utilizing quantitative and qualitative analytical skills.• Hands on Experience in Installing, Configuring, Managing and troubleshooting Azure and MSBI skill set, excellent communication and analytical skills, understands business requirements in various domains. Technical Strength: Hands on experience in Azure services and MSBI/Data Analytics skills - · Azure: Azure SQL Data warehouse (Now Azure Synapse Analytics ), Azure SQL Database, Azure Data factory (ADF), Azure Data Lake, Azure Databricks, Azure Storage.· MS SQL Server: SQL Server, Integration Services (SSIS), Reporting Services (SSRS), Analytical Services (SSAS)Others - Snowflake Data Warehouse,Power BI, DAX,Power Apps, Power shell.

Experience

1. Senior Data Engineer

   Deloitte

   Oct 2025 — Present · IN

   Project: MDM DLT Outbound-PfizerWorked on a Master Data Management (MDM) project for Pfizer, integrating Reltio MDM APIs with a modern Lakehouse architecture built on Databricks.Designed and implemented scalable data pipelines to ingest and process complex nested JSON data using Delta Live Tables (DLT) and Databricks Workflows, following the Medallion (Bronze–Silver–Gold) architecture. Key Responsibilities:Ingested data from Reltio APIs handling complex hierarchical JSON structures and incremental loadsBuilt DLT pipelines with data quality checks and automated transformationsDeveloped non-DLT pipelines using Workflows for custom orchestration and dependency managementImplemented data transformation logic including JSON flattening, normalization, and enrichmentDesigned end-to-end Lakeflow architecture for reliable and scalable data processing Data Integration & Storage:Processed data written to Amazon S3 for downstream consumptionIntegrated S3 data into Unity Catalog for centralized governance, access control, and lineage tracking CI/CD & Deployment:Managed source code and version control using GitHubImplemented CI/CD pipelines for automated deployment across environments Key Achievements:Successfully handled large-scale semi-structured data processingImproved pipeline reliability using DLT expectations and monitoringEnabled secure and governed data access through Unity Catalog

Education

• Jawaharlal Nehru Technological University, Kakinada

  BTech - Bachelor of Technology

  2009 — 2013