Manojprakash Marappan

Director of Engineering

Seattle, WA, United States15 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led engineering teams at AWS and Meta
Architected data platforms with 99.99% accuracy
Pioneered AI/ML initiatives reducing costs by up to 70%

Stackforce AI infers this person is a Data Engineering leader in MarTech and AdTech industries.

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Skills

Core Skills

Data EngineeringAi/ml Infrastructure

Other Skills

AI/MLData GovernanceTeam LeadershipCloud ArchitectureDistributed ComputingData AnalyticsMachine LearningBig Data SolutionsData WarehousingData IntegrationData PrivacyETLData QualityInformaticaTeradata Data Warehouse

About

Engineering leader with 15+ years of experience building and scaling high-performance data engineering teams at AWS, Meta, and Amazon. Proven track record of establishing and growing products from inception, with expertise in large-scale distributed systems, data infrastructure, and AI/ML implementations. Currently leading a 10+ person engineering team at AWS Marketing, where I've scaled the team from 4 to 10 members with 90% retention rate. Architected and implemented customer insights platforms processing 500M+ daily events, achieving 40% cost reduction and 60% performance improvements. Champion of privacy-first solutions, having implemented GDPR/CCPA-compliant frameworks managing 1000+ data assets. Key achievements include: • Built and scaled multiple engineering teams across Fortune 500 companies • Architected data platforms processing $2B+ annual revenue data with 99.99% accuracy • Pioneered AI/ML initiatives reducing operational costs by 40-70% • Implemented data governance frameworks reducing privacy incidents by 90% • Led distributed teams across global locations, delivering enterprise-scale solutions Passionate about building scalable, privacy-conscious data solutions while mentoring the next generation of engineering leaders. Known for balancing technical excellence with business impact and team growth. Expertise: Data Engineering | Distributed Systems | Team Leadership | AI/ML Infrastructure | Privacy & Compliance | Cloud Architecture | Engineering Management

Experience

15 yrs 8 mos

Total Experience

3 yrs 1 mo

Average Tenure

3 yrs 6 mos

Current Experience

Amazon web services (aws)

Data Engineering Manager

Oct 2022 – Present · 3 yrs 6 mos · Seattle, WA · On-site

Led 10+ person engineering team delivering customer insights platform processing 500M+ daily events through web analytics and marketing technology integrations
Built and scaled engineering team from 4 to 10+ members with 90% retention rate through strategic hiring,
mentorship programs, and clear career development paths
Spearheaded innovative AI/ML projects including:
o LLM-based data dictionary reducing documentation time by 70%
o AI-powered marketing content generation platform delivering 3x faster content creation
o Achieved 40% reduction in manual data classification tasks through ML automation
Established comprehensive data governance framework ensuring GDPR/CCPA compliance, covering 1000+ data assets and reducing privacy-related incidents by 90%
Scaled ML-based attribution model from 2 to 25 outcomes through modernized data/ML infrastructure, reducing time-to-market for new outcomes by 90%
Architected and implemented data infrastructure supporting AWS's customer engagement initiatives, resulting in 40% reduction in data processing costs and 60% improvement in query performance

Data EngineeringAI/MLData GovernanceTeam LeadershipCloud ArchitectureAI/ML Infrastructure

Amazon

Senior Data Engineer

Jul 2019 – Dec 2021 · 2 yrs 5 mos · Seattle, Washington, United States

Working with multiple different Machine Learning teams to support production deploying their models
Developing big data solutions using S3, Spark, EMR etc., to support data needs of the data science teams
Creating data pipelines to generate feature sets for machine learning models
Handling data privacy (GDPR, COPPA etc.,) and compliances for productionized ML models
Leading a team of data engineer and business analysts
Succeeded in cost cutting Data Pipeline projects through technical disciplines and strategic decisions
(Example: reduced the early cost from 200k to 36k, ~80% reduction)

Data EngineeringMachine LearningBig Data Solutions

Amazon web services

Senior Data Engineer

Sep 2015 – Jul 2019 · 3 yrs 10 mos · Seattle, Washington, United States

Designed, developed and supported data warehousing solutions for AWS marketing org with 1000+ business users.
Integrated 10+ different source systems like Marketo, Salesforce, Omniture, Social Media ( Sprinklr), AMO ( Paid Search), and so on
Delivered weekly/monthly business reports using tools like Tableau, OBIEE and QuickSights that assists marketing managers and senior leaderships in understanding marketing performances and budget allocations.
Developed big data solutions using S3, Spark, EMR, and Athena to support multiple Machine Learning (ML) teams.
Worked with marketing managers to create campaign performance methodologies and reporting dashboard using tools like Tableau, QuickSIght etc.,
Worked on data privacy projects to keep a large data warehouse compliance with data protection rules like GDPR
Supported data driven decision makings of campaigns/TV ads worth more than $40MM

Data WarehousingData IntegrationData PrivacyData Engineering

Cognizant technology solutions

Data Engineer

Jul 2010 – Sep 2015 · 5 yrs 2 mos · Pennsylvania, United States

Data Engineer at Cognizant Technology Solutions (Disney Team Parks and Resorts, Orlando -FL)
Jan 2014 – Sep 2015
Lead a team of 4 data engineers
Performed low-level analysis and designed data-model
Executed/Involved in end-to-end data engineering project life cycle
Architected/Developed robust data system for the leading Entertainment Industry customer (Disney)
Created multiple data tools, related to Data Quality validation and ETL design, using Java/Python
Saved $80k+ with these innovative tools within a short span of 6 months
Utilized expertise in SQL to achieve complex data manipulation logics
Data Engineer at Cognizant Technology Solutions (Penn National Gaming, Wyomissing - PA)
Jul 2010 – Sep 2015
Worked extensively in Teradata and Informatica
Designed and developed data pipelines
Integrated 20+ different source systems (20+ casinos)
Lead a team of 6 in multiple geographical locations ( India and USA)
Provided Informatica and Teradata technical consultancy