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Asutosh Parida

Director of Engineering | AI & Data Platform | AWS · Agentic AI · Kafka · Spark | 15 Yrs Scaling Engineering Orgs

Bengaluru

16+ years of work experience

1Wrk
Apr 20242 yrs 4 mosPresent

Bengaluru, Karnataka, India

Global Product & Platform Delivery ▪ Lead a 15+ member engineering org delivering B2C platform, Data Engineering pipelines, and internal integration/communication platforms supporting 150+ global enterprise customers. ▪ Chair Architecture Review Board (ARB) across 5+ product lines, enforcing technical standards and reducing architecture drift. ▪ Designed and launched AI-native products using AWS Bedrock (RAG, Agentic AI/MCP), reducing manual content processing time by enabling LLM-powered automation at scale. Engineering Transformation ▪ Architected company-wide Data Lake on AWS (EMR, S3, Redshift) serving all Data Engineering and AI/ML workloads across product lines. ▪ Led migration from legacy monolithic backend to event-driven microservices (Kafka), improving system scalability and reducing deployment cycle time. ▪ Scaled data pipelines (Spark, Hive, AWS EMR/Lambda) handling enterprise-scale ingestion across structured and unstructured sources. Leadership ▪ Mentor Senior Managers and Principal Architects; built a leadership pipeline that reduced external senior hiring dependency. ▪ Drove cross-functional alignment across Engineering, Product, and Data Science to accelerate delivery velocity.
1Wrk
Jan 20222 yrs 5 mosMay 2024

Bengaluru, Karnataka, India

▪ Defined technical architecture for Data Lake, microservices migration, and AI/ML platform — laying the foundation for the company's next 3-year technology strategy. ▪ Drove engineering excellence across teams: introduced code review standards, CI/CD pipelines, and observability practices that improved release quality and deployment frequency. ▪ Hands-on prototyped RAG-based internal AI tools using AWS Bedrock, validating the AI product roadmap adopted at Director level.
Symphony Talent
Jan 20193 yrsDec 2021

Bengaluru, Karnataka, India

▪ Led a 10+ member team delivering marketing/advertisement data pipelines and distributed Java/Spring Boot applications at scale. ▪ Processed 600GB+ of daily clickstream data using Kafka and Spark Streaming, syncing to data lake for downstream analytics. ▪ Built ETL/ELT pipelines in Spark/Scala integrating Cassandra, MongoDB, Redshift, MySQL, and S3 for multi-domain data processing. ▪ Designed in-house OLAP data warehouse with AWS (EMR, S3, Redshift); filed IP for a custom OLTP-OLAP Cassandra migration framework. ▪ Enhanced Elasticsearch-backed REST APIs (Spring Boot) using microservices architecture for real-time data exposure.
RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
Mar 201810 mosDec 2018

Singapore

▪ Delivered Cross-Border Payment transaction APIs (Spring Boot/REST) for DBS Bank, handling high-volume secure payment processing. ▪ Built end-to-end data pipelines (Spark, Hive, HBase) generating Merchant Discount Rate (MDR) analytics, directly improving revenue decision-making for DBS payment services. ▪ Upgraded legacy Hive ETL workflows to Spark, reducing data processing latency for high-throughput payment operations.
HARMAN International India Pvt. Ltd.
Jul 20161 yr 9 mosMar 2018

Bangalore

▪ Led design/delivery management of a team of 10+ engineers for Data Pipeline and application project using both Waterfall and Agile (Scrum) methodologies, ensuring on-time, high-quality results. ▪ DevelopedandmanagedDataLakeandDataWarehousesolutionsforend-to-enddatapipelinesusingCassandraandAmazonRedshift,enabling ePicient storage, retrieval, and processing of large-scale datasets. ▪ Hands-onexperienceindesigning,implementing,andoptimizingascalablecloud-baseddatalaketosupporttheorganization’sanalyticsplatform, improving data accessibility and reliability. ▪ DevelopedrobustRESTfulwebservicesinJavausingSpringBoot,Elasticsearch,enablingseamlessintegrationwithdownstreamapplicationsand analytics tools. ▪ Designed, implemented, and maintained Hive-based ETL workflows for large-scale data processing, deploying and monitoring them on managed clusters to ensure high availability and performance. ▪ Collaboratedwithdataengineers,analysts,andbusinessstakeholderstoidentifykeydatarequirements,optimizedatamodels,andimprovequery performance across the data lake and warehouse. ▪ Implementedbestpracticesfordataquality,andpipelinemonitoring,ensuringaccurateandreliableanalyticsoutputs. ▪ Participated in performance tuning of both ETL jobs and Redshift/Cassandra queries, reducing processing times and improving overall system throughput.
Spire Innovations Inc
May 20106 yrs 2 mosJun 2016

Bangalore

▪ Led a 7/8-member team in delivering multiple n-tier distributed applications using Java/J2EE technologies, ensuring end-to-end traceability from business requirements to implementation and testing. ▪ Design and enhanced the design of solutions across multiple modules, ensuring scalable, maintainable, and high-performance system architecture. ▪ DesignedanddevelopedrobustRESTfulwebservicesinJava,coveringbothserviceandclientlayers,tomeetfunctionalrequirementsandenable seamless integration with downstream applications. ▪ Enhanced SDK functionality using JCloud to interact ePiciently with AWS services, including S3 buckets, SNS topics, and containerized storage solutions, improving cloud resource management and automation. ▪ DevelopedandoptimizedPL/SQLproceduresandfunctionstosupportapplicationworkflows,ensuringdataintegrity,performance,andadherence to business requirements. ▪ Collaborated with cross-functional teams to gather requirements, perform code reviews, and implement best practices in API design, database programming, and cloud integration.

Asutosh’s AI Stack

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cursor
langchain
langchain
langgraph
langgraph
mcp
mcp

Education

Biju Patnaik University of Technology, Odisha

Bachelor of Technology (B.Tech.), Computer Science

Biju Patnaik University of Technology, Odisha

20034 yrs2007

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Headline

Director of Engineering | AI & Data Platform | AWS · Agentic AI · Kafka · Spark | 15 Yrs Scaling Engineering Orgs

About

Over 15 years, I've led Application Engineering, Data Engineering, and AI platform delivery across HRTech, FinTech (DBS), Media/AdTech (HARMAN, Symphony Talent), and Retail Banking — driving systems that serve 150+ global enterprise customers. At Talent500, I lead a 15+ member engineering org as Director of Engineering, overseeing B2C platform development, data lake architecture, and AI product delivery on AWS (Bedrock, EMR, Lambda). I've driven the full migration from legacy monoliths to event-driven microservices (Kafka), architected multi-source data pipelines processing 600GB+ daily, and shipped Agentic AI / RAG products using AWS Bedrock and MCP frameworks. What I bring to any table: → Engineering strategy: roadmaps, ARB governance, org design → AI/ML delivery: RAG, Agentic AI, LLM-powered products on AWS → Data platform: Data Lake, Lakehouse, Spark/Hive/Redshift pipelines → People leadership: hiring, mentoring, and scaling high-performance teams Currently exploring Director of Engineering, Principal/Staff Engineer opportunities where I can build 0→1 AI platforms or scale existing engineering organizations.

Location

Bengaluru

AI stack

cursor

langchain

langgraph

mcp

Work experience

Director of Engineering at 1Wrk, Apr 2024 - Present · 2 yrs 4 mos, Bengaluru, Karnataka, India, Global Product & Platform Delivery ▪ Lead a 15+ member engineering org delivering B2C platform, Data Engineering pipelines, and internal integration/communication platforms supporting 150+ global enterprise customers. ▪ Chair Architecture Review Board (ARB) across 5+ product lines, enforcing technical standards and reducing architecture drift. ▪ Designed and launched AI-native products using AWS Bedrock (RAG, Agentic AI/MCP), reducing manual content processing time by enabling LLM-powered automation at scale. Engineering Transformation ▪ Architected company-wide Data Lake on AWS (EMR, S3, Redshift) serving all Data Engineering and AI/ML workloads across product lines. ▪ Led migration from legacy monolithic backend to event-driven microservices (Kafka), improving system scalability and reducing deployment cycle time. ▪ Scaled data pipelines (Spark, Hive, AWS EMR/Lambda) handling enterprise-scale ingestion across structured and unstructured sources. Leadership ▪ Mentor Senior Managers and Principal Architects; built a leadership pipeline that reduced external senior hiring dependency. ▪ Drove cross-functional alignment across Engineering, Product, and Data Science to accelerate delivery velocity.

Senior Principal Engineer at 1Wrk, Jan 2022 - May 2024 · 2 yrs 5 mos, Bengaluru, Karnataka, India, ▪ Defined technical architecture for Data Lake, microservices migration, and AI/ML platform — laying the foundation for the company's next 3-year technology strategy. ▪ Drove engineering excellence across teams: introduced code review standards, CI/CD pipelines, and observability practices that improved release quality and deployment frequency. ▪ Hands-on prototyped RAG-based internal AI tools using AWS Bedrock, validating the AI product roadmap adopted at Director level.

Senior Associate at Symphony Talent, Jan 2019 - Dec 2021 · 3 yrs, Bengaluru, Karnataka, India, ▪ Led a 10+ member team delivering marketing/advertisement data pipelines and distributed Java/Spring Boot applications at scale. ▪ Processed 600GB+ of daily clickstream data using Kafka and Spark Streaming, syncing to data lake for downstream analytics. ▪ Built ETL/ELT pipelines in Spark/Scala integrating Cassandra, MongoDB, Redshift, MySQL, and S3 for multi-domain data processing. ▪ Designed in-house OLAP data warehouse with AWS (EMR, S3, Redshift); filed IP for a custom OLTP-OLAP Cassandra migration framework. ▪ Enhanced Elasticsearch-backed REST APIs (Spring Boot) using microservices architecture for real-time data exposure.

Senior Software Consultant at RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS), Mar 2018 - Dec 2018 · 10 mos, Singapore, ▪ Delivered Cross-Border Payment transaction APIs (Spring Boot/REST) for DBS Bank, handling high-volume secure payment processing. ▪ Built end-to-end data pipelines (Spark, Hive, HBase) generating Merchant Discount Rate (MDR) analytics, directly improving revenue decision-making for DBS payment services. ▪ Upgraded legacy Hive ETL workflows to Spark, reducing data processing latency for high-throughput payment operations.

Product Development Lead at HARMAN International India Pvt. Ltd., Jul 2016 - Mar 2018 · 1 yr 9 mos, Bangalore, ▪ Led design/delivery management of a team of 10+ engineers for Data Pipeline and application project using both Waterfall and Agile (Scrum) methodologies, ensuring on-time, high-quality results. ▪ DevelopedandmanagedDataLakeandDataWarehousesolutionsforend-to-enddatapipelinesusingCassandraandAmazonRedshift,enabling ePicient storage, retrieval, and processing of large-scale datasets. ▪ Hands-onexperienceindesigning,implementing,andoptimizingascalablecloud-baseddatalaketosupporttheorganization’sanalyticsplatform, improving data accessibility and reliability. ▪ DevelopedrobustRESTfulwebservicesinJavausingSpringBoot,Elasticsearch,enablingseamlessintegrationwithdownstreamapplicationsand analytics tools. ▪ Designed, implemented, and maintained Hive-based ETL workflows for large-scale data processing, deploying and monitoring them on managed clusters to ensure high availability and performance. ▪ Collaboratedwithdataengineers,analysts,andbusinessstakeholderstoidentifykeydatarequirements,optimizedatamodels,andimprovequery performance across the data lake and warehouse. ▪ Implementedbestpracticesfordataquality,andpipelinemonitoring,ensuringaccurateandreliableanalyticsoutputs. ▪ Participated in performance tuning of both ETL jobs and Redshift/Cassandra queries, reducing processing times and improving overall system throughput.

Senior Software Engineer at Spire Innovations Inc, May 2010 - Jun 2016 · 6 yrs 2 mos, Bangalore, ▪ Led a 7/8-member team in delivering multiple n-tier distributed applications using Java/J2EE technologies, ensuring end-to-end traceability from business requirements to implementation and testing. ▪ Design and enhanced the design of solutions across multiple modules, ensuring scalable, maintainable, and high-performance system architecture. ▪ DesignedanddevelopedrobustRESTfulwebservicesinJava,coveringbothserviceandclientlayers,tomeetfunctionalrequirementsandenable seamless integration with downstream applications. ▪ Enhanced SDK functionality using JCloud to interact ePiciently with AWS services, including S3 buckets, SNS topics, and containerized storage solutions, improving cloud resource management and automation. ▪ DevelopedandoptimizedPL/SQLproceduresandfunctionstosupportapplicationworkflows,ensuringdataintegrity,performance,andadherence to business requirements. ▪ Collaborated with cross-functional teams to gather requirements, perform code reviews, and implement best practices in API design, database programming, and cloud integration.

Education

Bachelor of Technology (B.Tech.), Computer Science, Biju Patnaik University of Technology, Odisha