Girijesh Pandey

About Girijesh Pandey

15+ years of IT industry experience, working as Solution Architect/Data Architect/Data Modeler/ETL/BI Architect with hands-on experience on variety of tools/technologies like enterprise BI, Data warehouse, MDM, Data Lake, Big Data and Cloud - AWS and Azure.• Providing strategic vision and the technology roadmap for data platform in order to meet the data needs of various stakeholders across multiple business units.• Defining best practices and standards around data platforms tools & technologies of Analytics, Data Warehousing, ETL/ELT, Data Modelling, Data Integration, Data Migration. Focusing on continuous improvement of Data Quality, Availability, Performance and Consistency, ensuring compliance to standards and guidelines.• Experience in leading Data strategy programs with large cloud engagements especially those involving Data Platform modernization and migration.• Deep experience & expertise in Azure SQL, Azure Synapse analytics, Azure Data Factory, Azure Data Lake, PowerBI, Kafka, AWS S3, RDS, AWS Glue, Amazon redshift etc.• Had delivered several mission critical projects using Big Data technologies EMR & Spark technologies.• Exceptional team-player, cultivating a positive work environment and promoting a spirit of teamwork and idea-sharing to maximize individual contributions and consistently exceed client expectations.• Had worked on several data migration projects like DB2 to Snowflake, Teradata to AWS, SQL Server to Azure synapse.• Had received cloud data hero 2021 award from Snowflake for the exceptional contribution to the community.• Worked at client locations UK - London and Middle east - Doha.

Experience

1. Architect

   Tech Mahindra

   Jun 2019 — Present · Doha, QA

   Working as an architect for one of the our esteemed client (government ).We are building up a modern data warehouse ( using Data Lake) as a part of Greenfield project to enable single source of truth for biz users using below tools. Currently, size of existing DWH is 20 TB ( 15 TB is archived and 5 GB live).Technology stack:1. Cloudera platform 2. Hbase - Low latency DB3. Informatica BDM and KAFKA - Data extraction ( batch and streaming data)4. Hive & Phoenix - Data access and queries5. Apache atlas - Data governance framework6. Power BI - Data visulization

Education

• Inderprastha Engineering College

  B.Tech, Computer Science

  2003 — 2007

Skills

• Etl
• C#
• Iis
• Data Warehousing
• Microsoft Sql Server
• Ssrs
• Databases
• Ssis
• Business Intelligence
• Analysis Services
• Sql
• Asp.net