Purushottam Uppu
Manager - Data Architecture, Strategy and Engineering | Accenture AI Hub
- Role
- Data Engineering Manager at Accenture
- Location
- Bengaluru, IN
- LinkedIn followers
- 500 followers
About Purushottam Uppu
Cloud and Data Leader with extensive experience in data strategy, data architecture, data engineering, cloud architecture and AI/ML Decade of experience as Cloud Data architect, Data Engineer, Data Modeler and Database developer. Helping fortune 500 enterprises to accelerate Business Intelligence and Advanced analytics missions using modern data stack Leading and mentoring a team of data engineers, fostering a collaborative and innovative work environment. Designing, implementing, and managing data lake house architecture, ensuring scalability, reliability, and performance. Driving the development and implementation of data engineering best practices, ensuring the team delivers high-quality, well-organized, maintainable code and creating reusable assets. Collaborating closely with cross-functional teams to understand business requirements and translating them into effective data solutions. Managing the end-to-end data pipeline process, from data ingestion to transformation and modeling, ensuring data accuracy and consistency. Staying up-to-date with the latest advancements in data engineering, big data technologies, cloud computing and GenAI and apply this knowledge to improve productivity and driving automation wherever is possible and necessity. Troubleshooting and resolving complex data engineering issues, optimizing performance and addressing scalability challenges. Leading the evaluation, selection, and adoption of new tools and technologies that align with our data strategy, architecture, Quality and Governance. Ensuring compliance with data security and privacy standards, working closely with the security and compliance teams. Collaborating with data scientists and analysts to provide clean, well-structured data for advanced analytics and reporting Specialties- Cloud Enablement - Cloud Migration - Data and Systems Engineering - Solution Architecture - Leading large Cross-functional Teams - Data Engineering & Data Analytics Technologies - Strategic Initiatives - Enterprise Data and Analytics - Agile Software Development - Project and Program Management - Data Monetization Technologies- Data Strategy and management - Data Quality and Governance - Azure synapse, Redshift and BigQuery - Azure Databricks, Delta Lakehouse - SQL, Python, Spark and Pyspark - LLMs and Vector databases - Bigdata ecosystem - Power BI and Tableau - NOSQL databases (Mongo & Cassandra)- Graph databases (Neo4j)- Cloud (Azure and GCP)- Erwin/Redgate/Power designer
Experience
Data Engineering Manager
May 2022 — Present · Bengaluru, IN
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