H

Hariharan Ramachandran

Software Engineer

Singapore, Singapore16 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 15+ years of experience in enterprise data platforms.
  • Expert in building scalable data engineering solutions.
  • Innovative projects in AI and data automation.
Stackforce AI infers this person is a Data Engineering and AI specialist with extensive experience in enterprise solutions.

Contact

Skills

Core Skills

Data EngineeringMachine LearningData LineageBig Data

Other Skills

Google Cloud PlatformCloud ComposerETL operationsdata engineering pipelinesmachine learning lifecyclecontinuous integrationdata modelingAirflowETL pipelinesdata qualitydata cleansingdata profilingApache SparkHadoopdata ingestion

About

I connect the dots between data and intelligence.15+ years building enterprise data platforms at scale — News Corp, Universal Studios, Walmart, Equinix. → Data Engineering: Multi-source integrations on GCP (BigQuery, dbt, Cloud Composer, Kafka) → ML Engineering: Production systems that fuel predictive models → Data Lineage: Tools to visualize and track data flows → AI Automation: Self-healing pipelines and intelligent ops What I'm building now during my free time : → FULLSTACKE (https://www.fullstacke.com) — AI that builds full-stack apps from a prompt → YappSpot (https://yappspot.ai) — where AI agents debate and fact-check each other → Scouttr — enterprise agent platform where AI inherits user permissions, not god-mode API keysI believe the next wave of enterprise AI isn't about smarter models — it's about agents that respect the same boundaries humans do. Let's talk if you're building in AI, struggling with enterprise data, or think your agents have too much access.

Experience

16 yrs 8 mos
Total Experience
2 yrs 9 mos
Average Tenure
6 yrs 3 mos
Current Experience

Equinix

3 roles

Principal Software Engineer

Promoted

Aug 2024Present · 1 yr 9 mos

Lead Data Engineer - Google Cloud

Promoted

Aug 2021Aug 2024 · 3 yrs

Senior Data Engineer - Google Cloud

Feb 2020Aug 2021 · 1 yr 6 mos

  • Build and design robust data engineering pipelines and responsible in automating the data science model deployments using various tools and technologies.
  • Building scalable, fault tolerant and high-performance ML and DATA platforms.
  • Perform ETL operations on Google Cloud Platform using Cloud Composer and processing real time data using cloud pub sub and dataflow.
  • Data integration strategy, data modeling, designing, building ETLs, data ingestions, and/or transformations
  • Design, develop, and launch extremely efficient and reliable data pipelines to move data and to provide intuitive analytics.
  • Make data more discoverable and easier to use for Data Scientists and Analysts across the company.
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
  • Automate the machine learning lifecycle to update, test, and continuously roll out new models.
  • Setup continuous integration and continuous delivery to keep the business and customers ahead.
  • Operated with a strong work ethic, professionalism, and the ability to work under pressure.
Google Cloud PlatformCloud ComposerETL operationsdata engineering pipelinesmachine learning lifecyclecontinuous integration+3

News technology services

Senior Data Engineer - Google Cloud

Oct 2018Feb 2020 · 1 yr 4 mos · Bangalore

  • Working on strategies to provide technical solutions based on business requirements by understanding and using various tools, platforms and libraries, with always a vision to make them work together.
  • Built the whole data platform on the GCP infrastructure using various services based on stream and batch data. Airflow/Composer/Data Fusion being our major orchestrator.
  • Converted the complete customer data platform from Redshift/Sas to Google bigquery.
  • Create ETL pipelines to deliver sanctioned data to stakeholders, while maintaining high accuracy and reliability.
  • Experience in data quality definition, data cleansing and data treatment/profiling process
  • Proactively drive the vision for data engineering across verticals and define and execute on a plan to achieve that vision.
  • Brainstorm data product ideas and partner closely with Data Scientists; Product Management and Operations teams to develop; test; deploy; and operate high-quality software
  • Tune and monitor data infrastructure Performance to support a growing organization
  • Responsible for maintaining the operation of the system platform, including system inspection, troubleshooting, system optimization, data backup, etc., to ensure the high-quality and efficient operation of the platform.
Google Cloud PlatformAirflowETL pipelinesdata qualitydata cleansingdata profiling+2

Capgemini

Technical Specialist - Bigdata/Hadoop/Spark/Flink

Sep 2015Oct 2018 · 3 yrs 1 mo · Bangalore Area, India

  • Designing and architecting the data ingestion from source into Big data and using various niche technologies like SPARK to process the data faster in Hortonworks Distribution.
  • Development, and testing of enterprise decision solution for NBCU’s Bigdata system. Solution involved integration of Big data system with various BI and Data Warehousing tool to demonstrate how faster the data can be processed influencing business decisions.
  • Developing Scripts/Jobs for data ingestion into HDFS/HIVE/HBASE, data analysis, aggregations and data validation. Automating the entire data ingestion process.
  • Responsible for designing and deploying relevant application platforms.
  • Diagnose and solve issues in our existing data pipelines and envision and build their successors.
Big DataApache SparkHadoopdata ingestiondata validationData Engineering

Cognizant technology solutions

Associate Projects

Jan 2014Sep 2015 · 1 yr 8 mos · Chennai Area, India

  • As a senior developer solving the business problems of our clients by operationalizing hadoop and its ecosystem was our main goal. Involved in Requirement gathering from the client in the client meeting and explains the same to the team and help them understand and provide support.Handled importing of data from various data sources, performed transformations using Hive, Map Reduce Analyzed the data by performing Hive queries and running Pig scripts to know user behavior. Prepared scripts to ensure proper data access, manipulation and reporting functions with R programming languages.
HadoopHiveMapReduceR ProgrammingData Engineering

Csc

Software Engineer

Jan 2012Jan 2014 · 2 yrs · Chennai Area, India

  • Understand the business requirement in German and providing the Functional, technical documentation. Efficient Coding in SWT01.Translate the business requirements from German to English and provide end-to-end solutions for the clients.The project was implemented using Agile Methodology.Individually designed and implemented the Decision making system with Zero Defect.Configured SAP’s Project System and Investment Management modules for domestic operations of major Pharmaceutical Company. Responsible for business requirements analysis, process decomposition, process reengineering, integration testing, training facilitation, securities profile development, and post production support.
  • The project involves maintaining the Dialogue System Leiustung which is a Benefit System in Zurich Germany which handles all the claim processing and settlement. It’s a centralized system specifically designed to handle settlements from various systems like GRL, VSL & ZL systems. DSL system acts like a plug and play device, many interfaces like text adaptor, VSL, GRL, Inkasso; FSCD interacts with DSL for payment processing. All the changes & modifications as well settlements to various policies are done through online IMS screens. These screens are designed using a tool Bonndias.

Tata consultancy services

Systems Engineer

Sep 2009Jan 2012 · 2 yrs 4 mos · Chennai Area, India

  • The project involves managing the Master Security Description applications are part of core processing in Global Wealth Management division of Morgan Stanley. MSD is a centralized data base for all security related information (End to end information about all products like Stock’s, Bond’s etc.). The project involves Development & Maintenance of MSD, PRC, SEC applications and the Joint Venture of Morgan Stanley with Smith Barney that deals with the migration of Smith Barney accounts into Morgan Stanley System.

Education

Vellore Institute of Technology

MS — Computer Science

Jan 2004Jan 2009

Vani vidyalaya

Computer Science

Jan 2002Jan 2004

Breeks all india secondary school OOTY

CBSE

Jan 2000Jan 2002

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