Manthan Shah

CTO

Bengaluru, Karnataka, India14 yrs 11 mos experience

Highly Stable

Key Highlights

Over 13 years of experience in software development.
Expertise in transforming traditional databases into scalable solutions.
Passionate about AI and machine learning innovations.

Stackforce AI infers this person is a Big Data Engineer with a strong focus on AI and cloud computing solutions.

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Skills

Core Skills

Big Data AnalyticsPython (programming Language)Object-oriented Programming (oop)C#

Other Skills

HBaseSPARKSCALARDBMSETLGitHubDatabase DesignNatural Language Processing (NLP)MapReduceHdfsHadoopHiveNoSQLRedisElastic Stack (ELK)

About

Dynamic Software Engineer Lead with over 13+ years of experience in the full Software Development Life Cycle (SDLC). Proven expertise in leading large-scale Big Data and traditional relational database-based solutions, with a strong focus on innovation, efficiency, and customer satisfaction. Adept at driving complex projects from conception to completion, leveraging a deep understanding of both frontend, backend and middleware technologies. Deeply passionate about artificial intelligence and machine learning, with hands-on experience in crafting innovative solutions that drive efficiency and unlock new capabilities across diverse applications. Demonstrated interest in cloud computing, leveraging scalable solutions to enhance data processing and integration capabilities.

Experience

14 yrs 11 mos

Total Experience

14 yrs 11 mos

Average Tenure

14 yrs 11 mos

Current Experience

Intel corporation

3 roles

Lead Big Data Engineer

Promoted

Jul 2020 – Present · 5 yrs 11 mos

Hybrid Solution Transformation: Successfully transformed a Teradata-only solution into a scalable and cost-efficient Teradata + Big Data based hybrid system, achieving significant cost savings and enhanced analytics capabilities.
Impact/Cost Efficiency: Realized $1M in annual Total Cost of Ownership (TCO) savings through the adoption of HBase, resulting in faster analytics for key users.
Complex Data Processing: Developed a sophisticated data extraction layer from scratch, incorporating scalable Web APIs, services, and distributed data processing using SPARK/SCALA.
User Migration: Led the migration of thousands of users from a Teradata (SQL Only) system to a hybrid Teradata + Big Data (API) solution, improving data accessibility and analytical efficiency.
Enhanced Data Extraction: Achieved a 10-20x increase in data extraction speed and efficiency for analytical purposes, significantly benefiting customer operations.
Advanced Data Handling: Enabled the extraction of large and complex datasets (100k columns x 200k rows) to support AI/ML feature engineering, enhancing data processing capabilities.

Big Data AnalyticsPython (Programming Language)

Software Engineer

Aug 2012 – Jul 2020 · 7 yrs 11 mos

Design, develop & support a very large Database (approx. 30 Terabytes) based solution which provides Commonality and Traceability solution to manufacturing group customers.
UI based reporting tool which provides Traceability and Commonality results by applying complex business logic and extracting large data from RDBMS which is huge in size.
Primarily responsible for designing, developing and supporting front-end and middle-Tier components like application UI, Middle-Tier, Web Services and different backend RDBMS/ETL components like stored procedures, data extractor, data loader etc.
This is Intel’s one of most critical projects with huge customer base and have worked across all different project modules as specified below.

Object-Oriented Programming (OOP)C#