Ramesh Murugan

Ramesh Murugan Email and Phone Number

Sr. Data Engineer - AI and ML @ Meta
Texas, United States
Ramesh Murugan's Location
Dallas-Fort Worth Metroplex, United States, United States
Ramesh Murugan's Contact Details

Ramesh Murugan work email

Ramesh Murugan personal email

About Ramesh Murugan

12 + years of Data Engineering experience on development and testing of the Extraction, Transformation and Loading (ETL) of data using ETL tools, Big Data Technologies and AWS Cloud Services.Skills:- Programming Languages: Python, Pyspark- ETL Tools: Informatica, Informatica BDM, IDQ (Informatica Data Quality)- Big Data technologies involving Hadoop, Hive, Pyspark- Hands on experience of libraries like Pandas, NumPy, Matplotlib- In-depth knowledge of AWS including AWS EC2, EMR, SQS, SNS, Lambda, S3, Code Deploy, Code Pipeline, MWAA, VPC, Redshift,- Proficient in Database technologies like SQL Server, DB2, Netezza, Oracle, MySQL- Agile methodology and software development lifecycle using JIRA scrum.- Source control including GitHub- Job Scheduler: Apache Airflow, ESP CA Workstation, Tiwoli Work Scheduler (TWS)

Ramesh Murugan's Current Company Details
Meta

Meta

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Sr. Data Engineer - AI and ML
Texas, United States
Website:
metadownhole.com
Employees:
136862
Ramesh Murugan Work Experience Details
  • Meta
    Sr. Data Engineer - Ai And Ml
    Meta
    Texas, United States
    View
  • Meta
    Data Engineer
    Meta May 2022 - Present
    Menlo Park, Ca, Us
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  • Amazon Web Services (Aws)
    Big Data Engineer Ii
    Amazon Web Services (Aws) Mar 2021 - May 2022
    Seattle, Wa, Us
    • Designed & built large scale, robust & fault tolerant data lakes & data pipelines to process & publish huge volume of Daily & Monthly Worldwide AWS Revenue data for the purpose of compensating Sales Agent• Integrated data from heterogeneous data sources, apply and ensure data standardization & data validation rules• Managed end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.• Built and set up development tools and infrastructure required for data pipelines• Productionized models developed by the Data Science team by building model hosting and inferencing solutions
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  • Amazon
    Data Engineer Ii
    Amazon Aug 2020 - Feb 2021
    Seattle, Wa, Us
    • Built data pipelines delivering the information required by Data Scientists to enhance the capability of Alexa Data Services.• Worked with Data Scientists and Product Manager across the globe to provide them data that matters the most to help them with their statistical analysis.• Communicate analysis and insights to stakeholders and business leaders both verbally and in writing.• Built data pipelines to source structured and unstructured data from various sources such as Redshift, JSON, S3, Oracle using AWS pipeline and Amazon Internal tools such as Datanet Distributed Job Scheduler, Hammerstone etc.• Built various Python and SQL scripts to ingest information into SQS & Kinesis Queues eventually used by Data Associates & Data Scientists.• Automated and built the multiple solutions to improve Alexa's internal customer experience:
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  • Cognizant
    Senior Etl/Big Data Developer
    Cognizant Feb 2014 - Aug 2020
    Teaneck, New Jersey, Us
    • Involved in building the ETL architecture and Source to Target mapping to load data into Data Marts for Comprehensive Capital Analysis and Review Reporting.• The Data Mart involved 23 Line of Business servicing systems and 6 origination application information flowing into different DataMart such as Servicing, Origination Risk Exposure Data Credit Mart etc.• Worked on Informatica BDM & Sqoop to load data to HDFS raw layer and then load the data to Staging, UIR and Mart Hive tables.Knowledge on Spark programming.• Analyzed the business requirements, designed and developed the ETL mappings involving complex business rules in Informatica to load the data from sources such as Relational tables, Flat files, Oracle tables, Mainframe into the target Data warehouse.• Developed Dimensional data modeling of the data warehouse projects by using star & snowflake schema.• Data analysis using python libraries pandas & Informatica Data Quality (IDQ).• Instruct, guide team members and facilitates team and client meetings effectively
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  • Wipro Technologies
    Senior Associate
    Wipro Technologies Dec 2010 - Jan 2014
    • Developed technical specifications of the ETL process flow• Coordinated offshore and onsite team with a total of 7 ETL developers• Analyzed the existing mainframe reports and created reporting tables for new system.• Designed and developed Informatica jobs from heterogeneous sources, applied transform logics and loaded data into Data Warehouses / Data Marts. • Used Informatica Power Center to create mappings, sessions and workflows for populating the data into dimension, fact, and lookup tables simultaneously from different source systems (SQL server, Oracle, Flat files).• Active participation in decision making, QA meetings and regularly interacted with the Business Analysts and SMEs to understand the Business Process, Requirements & Designs.
  • Wipro Technologies
    Associate Developer
    Wipro Technologies Jul 2007 - Nov 2010
    Bangalore, Karnataka, In
    • Worked on multiple Enhancement projects for GMACI client (General Motors Insurance)• Develop programs for the requirements and conduct table review internally within the team to ensure the deliverable quality.• Providing 24x7 on call support
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Ramesh Murugan Skills

Writing Organizing Meetings Netcool Clinical Trials Os/390 Sound Ibm Detailed Design Customer Requirements Insurance Cap Windows Sales Iso Oracle Database Mentoring Performer Motors Filter Cycles Structure Hp Quality Center Schemas Data Mapping Mainframe Dfsort Performance Tuning Utilities Work Ethic Sep Ira Software Projects Lld Batch Processing Ca 7 Business Requirements Windows Xp Caching Informatica Power Center 8.6 Scheduling Tools Working Experience Nds Requirements Gathering Management Loading Design Data Transformation Tso Computer Science Phase 1 Db2 Technical Team Guiding Integration Routers Visa Transformations Powerpoint Monitors Source Requirements Analysis Sdlc Workflow Memory Management Low Level Design Detail Oriented Profit Symbol Languages System English Etl Tools Project Leadership Snowflake Process Flow Validation Explaining Windows 2000 Engineering Reports Strategy Rom Defect Vlookup Information Extraction Dog Grooming Strategies Microsoft Office Change Impact Analysis User Acceptance Testing Data Modeling Tables Variable Microsoft Excel Testing Tws Cobol Offshore Pl/sql Policy Point Of Contact Qmf Sla Extract Solution Scripting Scheduling Documentation Project Management Gender Design Documents Spufi System Monitoring Reporting Informatica Project Analysis Analysis Couple Home Staging Shell Scripting Call Reporting Compliance Reporting Ibm Mainframe Etl Cut Power Threads Test Planning Soapui Dimensional 24x7 Vsam Buffer Fix Production Support Tamil Star Operating Systems Cognos Applications Data Analysis Business Expansion Month End Highly Motivated Self Starter Communication Schedules Farmers Negotiation Stored Procedures Project Bidding Customer Needs Erp Jcl Aggregator User Requirements Decision Support Duplication Testing Process Mvs Data Architecture Dimension Wipro Expressions Flat Files Partition Business Intelligence Z/os Pipelines Project Planning Metadata Lights Data Logging Project Sql Xpediter Software Development Life Cycle Dimensional Modeling Query Tuning Unix Compensation Fileaid Data Marts Conforming Pricing Peregrine Pdf Responsibility Online Programs Project Teams Usa Fact Cohesive Software Design Data Warehousing Shell Code Data Models Estimate Work Allocation Unit Testing End To End Dwh Facts Serena Changeman Expression Reviews Microsoft Sql Server Business Rules Star Schema Quikjob Regression Testing Property Management Systems Visio Software Claim Windows Nt Oracle Ispf Valid Outlook Sequence Throughput Resolving Issues Chennai Microsoft Word Test Scripts Test Cases India Parallel Processing Deployed Financial Transactions Appraisals Optimization System Testing Lookups Problem Solving Informatica 8.x Cics Transform Hindi Coordinated Automation Databases

Ramesh Murugan Education Details

  • Anna University Chennai
    Anna University Chennai
    Computer Science

Frequently Asked Questions about Ramesh Murugan

What company does Ramesh Murugan work for?

Ramesh Murugan works for Meta

What is Ramesh Murugan's role at the current company?

Ramesh Murugan's current role is Sr. Data Engineer - AI and ML.

What is Ramesh Murugan's email address?

Ramesh Murugan's email address is ra****@****pro.com

What schools did Ramesh Murugan attend?

Ramesh Murugan attended Anna University Chennai.

What skills is Ramesh Murugan known for?

Ramesh Murugan has skills like Writing, Organizing Meetings, Netcool, Clinical Trials, Os/390, Sound, Ibm, Detailed Design, Customer Requirements, Insurance, Cap, Windows.

Who are Ramesh Murugan's colleagues?

Ramesh Murugan's colleagues are Ellen Mackessy, Heena Bloch, Joshua Nicoll, Suhas Srinivasan, Dinesh King, Alexander Lobov, Sean Michetti.

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