Resume Lead Big Data Analyst - Energy Management - Hire IT People

SUMMARY

Over 16+ years of IT experience including 2+ years on Big Data Hadoop Projects.

TECHNICAL SKILLS

Big Data: Hadoop, MapReduce, Tez, Spark, Pig, Hive, Hbase, Flume, YARN, Ambari, Sqoop.

Cloud: AWS, Adobe Creative Cloud.

Database: MySQL, MS SQL Server, Oracle, SQLite, MS Access.

Tools: MySQL Workbench, MS Visio, Adobe Creative Suite, GIT, Visual Studio.

Programming: Java, PHP, ASP.NET, C++, C, Python.

Virtualization: VMware, Oracle Virtual Box, Hyper V.

Others: SQL, Java Script, HTML5, CSS, XML, Bootstrap, Unix Shell Script.

PROFESSIONAL EXPERIENCE

Lead Big Data Analyst - Energy Management

Confidential

Responsibilities:

Architecture to develop data pipelines to ingest and process electricity voltage data (10 TB) from oil rigs around teh world into HDFS.
Architecting for Big Data Projects aimed to minimize maintenance and damage to equipment.
Setup of shopping mall building automation using IOT Echelon Smartserver 2.2 FT embedded hardware and software to reduce cost expense for clients.
Increase income by millions of dollars by saving electricity cost for shopping mall by providing data analysis using spark on AWS EMR (Elastic Map Reduce).

Lead Software Developer

Confidential

Responsibilities:

Analysis weather pattern data criteria such as solar, wind, rain from last 20 years from National Oceanic and Atmospheric.
Predicted energy usage for shopping mall to estimate accurate expense budget.

Software & Web Developer

Confidential

Responsibilities:

Provided technical assistance to end users with their reporting interface and customize SQL queries to full-fill their requirements.
Provide support to more than 30 vendors on third party applications and technical assistance on in-house software.
Design and Architect
Bigdata Development
Client Interaction & Support
Team Management

Web Developer

Confidential

Responsibilities:

Responsible for designing and implementing strategies, architectures, ingestion, storage, consumption and delivery processes for complex, large-volume, multi-variant, batch and real time data sets used for modeling, data mining, and research purposes.
Created Hive queries that halped market analysts spot emerging trends by comparing fresh data with EDW reference tables and historical metrics.
Wrote Hive and Pig scripts for joining teh raw data with teh lookup data and for some aggregative operations as per teh business requirement.
Used Pig as ETL tool to do transformations, event joins, filter both traffic and some pre-aggregations before storing teh data onto HDFS.
Exported teh analyzed data to teh relational databases using Sqoop for visualization and to generate reports For teh BI team.