Mahesh Thummati

CEO

Greater Toronto Area, Canada14 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in data engineering and cloud computing.
  • Proven track record in AI/ML platform development.
  • Strong background in big data and analytics.
Stackforce AI infers this person is a data engineering expert with a focus on AI/ML solutions in the Fintech and MarTech sectors.

Contact

Skills

Core Skills

Solution ArchitectureData EngineeringMachine LearningBig DataCloud Computing

Other Skills

AI/ML PlatformAPI Ingestion FrameworkAWS CloudFormationAWS Command Line Interface (CLI)AWS LambdaAWS SageMakerAgile MethodologiesAlgorithmsAmazon EC2Amazon Elastic MapReduce (EMR)Amazon S3Amazon Web Services (AWS)AnacondaApache KafkaApache Oozie

About

After graduating college in 2011, I jumped straight into the world of technology as a mainframe developer. At that time, conquering COBOL and JCL felt like reaching the mountaintop. But in the industry that’s so agile, I quickly realized I craved something more dynamic and exciting. So, I embarked on a journey of exploration, diving into the buzzwords of the time - Big Data, Hadoop, and Analytics. Let me tell you, it was a significant shift coming from a mainframe background. I found myself learning Java, R, Python, and Scala like my life depended on it. Luckily, platforms like Coursera were there to guide me along the way! As my mainframe shell began to crack, there was no turning back. I was captivated by the endless opportunities that lay ahead. That's when I made my foray into the world of data engineering. Working with Spark code and crafting Hive queries kept me going for a while, but eventually, I craved something more. That's when the clouds caught my attention. Cloud computing and AWS had me completely spellbound. Witnessing the speed-to-market and cost savings that public clouds offered blew my mind. It was like building a world-class solution for the price of a lunch! But that was just the beginning. The realm of real-time streaming and cutting-edge data architectures fascinated me. The impact they had on businesses was simply awe-inspiring. Somewhere along the way, though, I felt a yearning for the fundamentals of computer science. So, I decided to take the leap and applied for the Georgia Tech OMSCS program specializing in Machine Learning. Best decision ever! Now, after immersing myself in all things technical, I've shifted my focus to solving real business problems with the right technical solutions. That's my true passion. Even after all these years, one thing has remained the same - my insatiable curiosity and relentless desire to explore uncharted territories. I am excited to continue my journey, ready to take on new challenges, and make a meaningful impact. Let's connect and join me on this exciting adventure!

Experience

14 yrs 11 mos
Total Experience
3 yrs 8 mos
Average Tenure
4 yrs 6 mos
Current Experience

Vanguard

Application Engineering Lead, Martech

Nov 2021Present · 4 yrs 6 mos · Greater Toronto Area, Canada

  • Develop data products on Vanguard Webinars, click streams to enable customer journeys
  • Architect and build rest API ingestion framework to ingest data at near real time
Data ProductsAPI Ingestion FrameworkSolution ArchitectureData Engineering

Mufg

Vice President

Apr 2020Oct 2021 · 1 yr 6 mos · Charlotte, North Carolina, United States

  • Responsible for the delivery and strategy of data incubation efforts for analytics and AI/ML
  • Incubate, Architect, design and build AI/ML platform
  • Incubate, Architect, and develop event driven data pipelines
  • Incubate, Architect, and build a auto discovery of sensitive elements
  • Develop test data generation tool for incubation purposes that generates relational dummy data (maintains referential integrity)
AI/ML PlatformEvent Driven Data PipelinesTest Data Generation ToolMachine LearningData Engineering

Vanguard / randstad technologies

AWS Big Data Consultant

Oct 2017Apr 2020 · 2 yrs 6 mos · Charlotte, North Carolina Area

  • Architect, design and develop data pipelines to process peta bytes of data
  • Implement white paper to build participant based NBBO dataset
  • Build a comprehensive data lake by Integrating various internal and external datasets
  • Web scrape public websites for datasets
  • Accomplish exploratory data analysis of processed data by leveraging Hive, Impala, Presto and Hue
  • Design and implement migration of data from on-premises Hadoop applications to AWS cloud infrastructure
  • Write IaC
  • Analyse AWS cluster logs and alert discrepancies by virtue of machine data analysis tool, Splunk and AWS CloudWatch
  • Adapt to behaviour driven development (BDD) and write cucumber-java test scripts to perform automated integration tests and regression tests
  • Migrate large volumes of On-premises data into AWS data lake (S3) with aid of Snowball
Data PipelinesData LakeWeb ScrapingHadoop to AWS MigrationBig DataCloud Computing

Syntel

Consultant

Jun 2011Oct 2017 · 6 yrs 4 mos · Portland, Oregon Area

Education

Georgia Institute of Technology

Master of Science - MS — Computer Science

Andhra University

Bachelor of Engineering - BE — Electronics and Communications Engineering

Jan 2007Jan 2011

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