About

Srinivas Utla is a highly experienced and solutions-oriented IT professional with 19 years of experience in architecting, designing, developing, and implementing solutions for Big Data Engineering, Machine Learning, and multi-threading distributed systems. He has worked across a range of heterogeneous business domains, including Gas-Oil-Energy, Life Sciences & Healthcare, e-Discovery Response System (ERS), Banking Domain (Clearing and Settlement, Margin Management), and Network Security (SSL VPN). Srinivas has worked as a Solution Architect with major clients such as Eli-Lilly USA, Shell USA, Chevron USA, Apple Inc., USA, UBS (Union Bank of Switzerland). Currently, he is working as a Big Data Solution Architect for EPAM Systems for more than 8 years. He is an AWS Certified Data Analytics - Specialty from AWS, Certified CITA-F (Certified IT Architect - Foundation) from IASA Global, Certified Microsoft Azure Architect Technologies (AZ-300), and Certified MongoDB Developer and DBA from university.mongodb.com. At present, Srinivas is working as an Azure Big Data Solution Architect at EPAM Systems, where he is responsible for migrating GCP BigQuery data warehouse to Azure Data Analytics Platform (Domain: Gas-Oil-Energy). He is involved in architecting, designing, and implementing a reliable, cost-effective, and scalable solution for migrating GCP BigQuery data warehouse to Azure Data Analytics platform using Azure ADF pipelines, Azure Databricks, BigQuery linked service (authentication using service account and user oauth), Google Data Studio, PowerBI (building business analysis reports). Prior to this, Srinivas has worked as an AWS Big Data Solution Architect and an Azure Big Data Solution Architect at EPAM Systems. In these roles, he was involved in architecting and designing big data applications in the oil-and-energy industry on on-prem and migrating big data applications from on-premises to Azure cloud. Srinivas holds a Master's degree in Computer Applications from the Indian Institute of Technology, Delhi, and a Master's degree in Maths from the University of Hyderabad. He has a broad range of technical skills, including Azure, Big Data, Senior Software Engineer, AWS, GCP, Data Warehouse, Databricks, MongoDB, Apache Airflow, Kubernetes, Kafka, ML, ECS, Spark, Java, Docker, Research Scientist, Postgres, Python, HDFS, Hadoop, Jenkins, DevOps, and Apache Hive. With 20.