Data Analytics Architect Resume

TECHNICAL SKILLS:

Big Data: Hadoop (HDFS, Java M/R, C++ Pipes)

Hadoop PIG: MongoDB

Languages: Java, C, C++, Embedded SQL (ESQL/C), Perl

Operating Systems: Redhat Linux, Sun Solaris, BSD, UNIX on HP 9000

Databases: Sybase (12.5), Oracle (8i), Informix (7.1), MySQL

Tools: CVS, Subversion, dbx, gdb, purify, insure++, valgrind, Remedy, iTrack, Wiki, JIRA, ERWin, DBArtisan

Middleware: BEA Tuxedo, IBM MQ

CAREER EXPERIENCE:

Data Analytics Architect

Consultant

Responsibilities:

Develop and maintain Confidential ’s Aurora platform that was deployed at the Confidential, Las Vegas.
Developed Analytics for Confidential to track various metrics like reservations, users, tiers, etc.
Meeting and discussing requirements with Clients
Regular meetings with team, project manager, QA and Production Support
Created Analytics for Confidential to track various metrics through various channels, time, etc. by storing Aurora Heartbeats using MongoDB and rendering the charts through Google Charts
Was involved in development and maintenance Confidential ’s Aurora platform that was a core Java product used to make Room, Dining and Show reservations at the casino.
Analytics Dashboard storing Aurora Heartbeats in MongoDB, and the restful APIs pulling data using Java interface and generating the view on the UI using Google Charts
The Aurora Platform built using Java Web Services on Tomcat, interfacing with Oracle DB and third parties using external APIs

Sr. Technical YahooUser Data Analytics

Confidential, Sunnyvale, CA

Responsibilities:

Worked on various projects on the Data Analytics platform using Hadoop Map Reduce paradigm
Worked with US, Japan and Bangalore teams
Work with group of skilled engineers, and help architect and build scalable and robust Data Analytics Applications.
Work with Product team to prioritize Projects in the pipeline and plan projects.
Work with QA, Customers, Operations, Project Managers during various stages of the Projects, to ensure smooth progress.
Participated in regular scrum meetings within and across the team
Ensure the team follows Engineering Standards.
Ensure we are using the uptodate software stack to build our applications.
Re - architect Audience Pipeline from inhouse build Midas framework to Hadoop Map/Reduce Architecture
Created low-latency pipeline that generates feeds every 10 minutes for highly iterative downstreamers like Confidential Today's module.
Merged Hourly and Low-latency pipeline into one, reducing the SLA of hourly data from 3.5 hours to 45 minutes
Won the "Best of UDA Hack" Award in 2011 for reducing latency of hourly audience feeds.
Did research on the best file storage for our use case and found that RC File format will provide us the best storage and retrieval. Currently we are in the process of migrating from SequenceFile to RC File format
Build applications for Linux on Hadoop M/R architecture using Java and C++ Pipes.
Data was stored in SequenceFile format, with GZip Codec.
PIG Jobs for various reporting purposes
Oracle and MySQL DBs for storing states of various jobs
Lotus Framework for Job Scheduling
Perl for scipting
JUnits, CppUnit and PIGUnit for Unit Tests
Hudson for Continuous Integration
Subversion and CVS for code repositories
VersionOne for Agile Software Development

Technical Lead / Manager, Software Engineering

Confidential, Menlo Park, CA

Responsibilities:

Directly worked with a group of 7 people, under Retail division of E* Confidential
Successfully executed critical projects and developed multiple products, interacting with multiple teams like QA, Release, Project Managers, Product Managers and other tech teams
Extensive experience in Online Banking, money transfers, bill pay, ATM transactions and other banking operations
Worked with cross-functional teams (brokerage, credit card, mortgage, etc.) for various projects like ET Complete, UCDB and Universal Online Enrollment.
Significant experience in developing Trading tools like Advanced Orders, Stock Alerts

Environment: Sun Solaris, Tuxedo 6.4, Sybase, Bea Jolt, PreVuex.

We provide IT Staff Augmentation Services!

We'd love your feedback!

Resume Categories

Client Services

Job Seekers

Visa Sponsorship