Bharath Aravamuthan
@bharatharavamuthan
Data Processing Expert
What I'm looking for
As a seasoned data processing expert with 18+ years of industry experience, I have developed a unique blend of technical expertise and leadership skills. My expertise spans across various big data technologies, including Hadoop, Kafka, and Spark. I have a proven track record of managing high-performing teams and delivering software and data products that meet customer needs.
I have worked with various organizations, including Amazon, RhythmOne Inc., and Tata Consultancy Services, in roles such as Software Development Manager, Senior Data Engineer, and Principal Engineer. My experience has equipped me with the skills to design and architect technical solutions that are scalable, reusable, and operationally ready.
I am passionate about building harmony with remote teams to deliver on-time results. I am also committed to ensuring data privacy and security, and I have worked with various teams to review and prioritize roadmap items for internal organizations.
Experience
Work history, roles, and key accomplishments
Sr. Software Development Manager
Amazon.com
May 2023 - Present (2 years 1 month)
Managed a high-performing team of 11 engineers, responsible for feature delivery and maintenance of 4 web-based products. Conducted operational reviews and promoted team members, improving performance across the board.
Senior Data Engineer
Amazon.com
Jul 2019 - May 2023 (3 years 10 months)
Built data engineering products ensuring compliance with global data protection regulations. Managed a team to design architecture for compliance products and developed complex data models.
Principal Engineer
RhythmOne Inc.
Jul 2015 - Jul 2019 (4 years)
Designed and architected technical solutions to meet business requirements, overseeing implementation and ensuring adherence to design standards while managing a team of 15.
Senior Hadoop Developer
Tata Consultancy Services (BOA)
Jan 2012 - Mar 2014 (2 years 2 months)
Developed and maintained Hadoop-based solutions, focusing on data processing and warehousing, ensuring high performance and fault tolerance.
Education
Degrees, certifications, and relevant coursework
Government College of Technology
Bachelor of Technology, Technology
2002 - 2006
An Efficient One Dimensional Fractal Analysis for IRIS Recognition is a robust imperceptible biometric scheme based on Fractal dimension. We have used IRIS Recognition as the biometric technique in which the fractal ratios are determined based on the image of the user’s Pupil, Sclera, and IRIS.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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