Badrish Davay

About Badrish Davay

Hands-on executive leader who strengthens business opportunity through strategic technology planning, enterprise roadmaps and leadership, connecting business and IT. Brings passion and culture shift to his organizations. Strategic IT executive and champion for change – with reputation for leading through ambiguity and maximizing cutting edge technologies; proponent of disruptive innovation. Driven by affecting change, aligning business’s goals and setting strategic direction. Experience includes combination of a technical and business leadership- Cloud, Data Transformation - implementation, configuration, deployment and management of enterprise applications in Cloud (AWS). Leveraging and implementing AWS Services and designing performant, secure, resilient architectures- Data Engineering, Data Science, Analytics, Decisioning. AWS Services, Data Streaming and Analytics, Spark, Snowflake, Machine Learning, Video Recognition, Data Lake- Vision and Culture – building self-sufficient and highly motivated teams- Leadership - enterprise-wide standards drive, adaptability to rapid changes in requirements and enablement of cross functional transparency to prevent bad practices- Program Management - measurable track of successfully growing and executing diverse portfolios of business, focused on creating value across dynamic commercial and federal markets.Spark, AWS, Data Science, ML, Data Transformation, Analytics, Python, Java, Streaming

Experience

1. Principal Consultant Data Engineering

   Thoughtworks

   Sep 2021 — Present · NY, US

   Driving Growth in Customer Revenue :Designed scalable data platforms, increasing customer revenue by 25% over 3 years.Collaborated with clients to develop innovative data architecture solutions, contributing to their business growth.Delivering High-Performance Large Data Platforms:Architected and deployed enterprise-grade data platforms, handling over 1 petabyte of data.Improved overall performance by 30% using modern data engineering practices.Implementing Data Mesh Architectures:Led design and implementation of data mesh architectures, empowering domain-driven data ownership and self-service data access.Reduced data pipeline maintenance overhead by 40% and improved data scientists\' productivity by 20%.Driving Platform Engineering Initiatives:Developed reusable data platform components and accelerators, reducing deployment costs by 25%.Implemented robust data platform observability and incident management practices, decreasing unplanned downtime by 50%.Advancing AI and ML Capabilities:Integrated advanced AI and ML models into client data platforms, enabling more accurate forecasting and predictive analytics.Developed and deployed scalable MLOps pipelines, ensuring reliable and consistent performance.Driving DataOps Transformation:Established end-to-end DataOps practices, reducing data engineering overhead by 40%.Implemented robust data observability and incident management processes, improving data reliability and reducing critical data incidents by 35%.

Education

• University of Westminster

  MS, Computer Networks and Communications

  2002 — 2004

• University of Madras

  BE, Computer Science and Engineering

  1998 — 2002

Skills

• Spring
• Hbase
• Apache Phoenix
• Data Warehousing
• Sql
• Linux
• Spring Mvc
• Jdbc
• Hibernate
• Apache Hive
• Web Services
• Big Data Hadoop / Hive
• Maven
• Backbone
• Java Enterprise Edition
• Enterprise Architecture
• Xml
• Hadoop
• Servlets
• Java Database Connectivity (Jdbc)
• Software Design
• Yarn
• Python
• Bootstrap
• Jquery
• Web Applications
• Apache Storm
• Eclipselink
• Jenkins
• Oracle
• Django
• Jboss Application Server
• Xslt
• Apache Pig
• Solution Architecture
• Java
• Tomcat
• Business Intelligence
• Amazon Ec2
• Apache Kafka