Manikanta Venkatesh Seeram

About Manikanta Venkatesh Seeram

As a Data Engineer at Amazon, I am working in one of the world\'s largest cloud-based data lakes. Skilled in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud). Have extensive experience on the design, creation, management, and business use of extremely large datasets. Possess excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and deep learning. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and Big data tools.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers.Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data setsExperience building data products incrementally and integrating and managing datasets from multiple sourcesQuery performance tuning skills using Unix profiling tools and SQLExperience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, Data-pipeline and other big data technologiesExperience providing technical leadership and mentor other engineers for the best practices on the data engineering spaceLinux/UNIX including to process large data sets and Experience with AWS

Experience

1. Senior Data Engineer

   Amazon

   Apr 2026 — Present · Seattle, WA, US

Education

• Jawaharlal Nehru Technological University

  Bachelor of Technology (BTech), Computer Science Engineering

  2009 — 2013

Skills

• Javascript
• Sdlc
• Unix
• Oracle Database
• Salesforce.com
• Css
• Web Services
• Mysql
• Visual Basic
• Oracle Sql Developer
• Software Development
• Java
• Shell Scripting
• Database Design
• Html
• Windows
• Database Development
• Databases
• C
• Programming
• Pl/Sql
• Sql
• Linux
• Oracle
• Microsoft Sql Server