1. Ankit Yadav
ay067846@gmail.com Mobile No: +91-9742356780
Professional Summary
• Overall 2.5 years of exp in IT industry
• Overall 2+ years in BigData, Hadoop and Hadoop Ecosystem (HDFS, Pig, Hive,
Sqoop, Map Reduce and Hbase) as Developer.
• Proficient in HDFS, Pig Latin, Hive QL, Sqoop, Hbase and Java MapReduce.
• Good Understanding of banking domain which includes credit cards, core customer and
business banking, packaged accounts etc.
• Exposure to all stages of Software Development Life Cycle (SDLC).
• Experience in implementing project at client location.
• Experience in performing Unit, Integration and system testing and supporting UAT
testing.
• Good Understanding in Requirement Analysis and preparing solution for the same.
Professional
Experience
• Working as a Software Engineer for ATTRA InfoTech from Sep 2014 till date.
Qualification
Bachelor of Technology in Computer science from Institute of
technology,GGU,Bilaspur(C.G) in the year 2014.
Technical Skill Set
• Big Data Technologies : HDFS, MapReduce, Pig, Hive, Sqoop, Flume, MongoDB
and Hbase
• Packages / Application : MS Word, MS Excel, MS Power Point
• Programming languages : Java
• Operating System : UNIX, Window 98/2000/XP, MS DOS, Z/OS, Linux
• Platform : UNIX
• Others : Eclipse
Trainings & Certifications
• Bigdata/Hadoop training at Attra.
ay067846@gmail.com
Mobile No: +91-9742356780
2. 1.
Project Title Direct debit
Client GE SBI, India
Project
Description
The aim of this project is to analyze the direct debit requirement for the credit
card customer.
To automate the credit card payment process via direct debit account, client
requested to analyze customer account patterns.
To implement the solution we followed below approach:
- Extract customer data
- Analyze the customer having credit card and debit account
- Load the transformed data in HDFS for further processing like report
generation etc.
Technology Operating system : Linux-Ubuntu
Languages : Core Java, MapReduce, Pig, Hive, Sqoop
Tools : Eclipse 3.4.1
Responsibilities • Key highlights of my experience are as follows –
• Created Functional and Technical Specification documents based on
the Business Requirements.
• Understanding the data, customer requirements and business use
cases.
• Providing Technical Architecture [Selections of tools and technologies]
• Providing solutions to business use cases and develop methodologies.
• Writing ETL jobs using Pig/MapReduce
• Writing Hive scripts to generate the reports
Role • Bigdata/Hadoop Developer
Duration 11 months
2.
Project Title Travel card launch
Client EMP, South Africa
Project
Description
The aim of this project is to segregate customers that have lot many
transactions in the travel and hotel segment and suggest the new travel card
to these customers. The aim is to segregate the customers that have spent
more than 5000Baht on travel and hotel sector(segregated based on the
Merchant category code) using MapReduce and Pig and store them in Hive
tables so that the BI team takes it forward from here for further analysis.
Operating system : Linux-Ubuntu
ay067846@gmail.com
Mobile No: +91-9742356780
PROJECT PROFILE
3. Technology Languages : Core Java, MapReduce, Pig, Hive, Sqoop
Tools : Eclipse 3.4.1
Responsibilities • Key highlights of my experience are as follows –
• Created Functional and Technical Specification documents based on
the Business Requirements.
• Understanding the data, customer requirements and business use
cases.
• Providing Technical Architecture [Selections of tools and technologies]
• Providing solutions to business use cases and develop methodologies.
• Writing ETL jobs using Pig/MapReduce
• Writing Hive scripts to generate the reports.
Role • Bigdata/Hadoop Developer
Duration 8 Months
Personal
Information • Name : Ankit Yadav
• Date of Birth : 04-12-1991
• Sex / Marital Status : Male / Unmarried
• Nationality / Religion : Indian / Hindu
• Languages Known : English, Hindi
Declaration:
I hereby declare that the information furnished above is true to the best of my knowledge and
belief.
Date: 02/02/2017 (Ankit Yadav)
ay067846@gmail.com
Mobile No: +91-9742356780