1. VINEET ANAND
Mobile: 735838-7388
E-Mail: anand_vin72@hotmail.com
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Professional Summary:
 Accomplished IT developer with 12 Yrs. Of Professional Experience in
Analysis, Design & Development of Enterprise Grade Application. 2 year hands
on experience in in cutting edge technology trends like Hadoop BigData and
Hadoop(CDH4).
 Hands on experience with Hadoop Core Components (HDFS, MapReduce) and
Hadoop Ecosystem (Sqoop, Flume, Hive, Pig, Oozie, HBase).
Experience in importing and exporting the data using Sqoop from Relational
Database (Db2) & My SQL Server to HDFS and reverse.
 Efficient in analyzing data using HiveQL, PigLatin, partitioning an existing data
set with static and dynamic partition, tune data for optimal query
performance.
 Good Understanding of creating a workflow with actions that includes Hadoop
jobs, Hive jobs, Pig jobs, Sqoop jobs using Oozie.
 Knowledge of extracting an Avro schema using avro-tools and evolving an
Avro schema by changing JSON files.
 Proficient working knowledge on Data Ingestion, Data Processing, Data
Analysis, Data Visualization and hands on experience working on projects
using Sqoop, Flume, Hive, Pig.
 Good Understanding about Spark SQL, PySpark and core Spark API.
 Excellent Analytical, Programming & Logical Skills. Capable of Handling
Multiple Projects same time.
 Previous Experience in Architecture Design, Database Design & Performance
Management using Mainframe Technology.
Technical Expertise
O/S MVS/ESA, Windows, LINUX, UNIX
RDBMS DB2, Oracle
Big Data Hadoop, HBase, Pig, Hive, Sqoop, Oozie, Flume, Mapreduce, HDFS,
Spark
Languages Core JAVA, Python
Other Tools ECLLIPSE
Other Technologies Mainframes
Methodologies Waterfall, Agile

2. Vineet Anand
Education / Certifications
Masters in Computer Applications BSc Physics/Chemistry/Maths
Gurukul K. University, India (1996) Garhwal University, India (1993)
Professional Experience
Mphasis Mar 2016 – Till Date
Application : Marketing & Merchandising, Item Maintance.
Role : Analyst
Project : Store Transaction Processing
Client : ROYAL AHOLD, USA
Environment : PIG, HIVE, SQOOP, HDFS, MapReduce, UNIX.
Project Description:
Royal Ahold has the largest supermarket chain.Retail Applications Like Promotions,
Coupon Generation, Retail Demand Forecasting (RDF), Managing Deals are some of
Business Critical Processes for analysis of item movement. Different reports are
required by business for Analysis. Existing system not capable to handle the same
because of large vol. of data. Switched to HADOOP for processing & analyzing the
data.
Role and Responsibility:
 Access business rules, collaborate with stakeholders and perform source-to-
target data Mapping, design and review.
 Tested Raw Data in Legacy System & same data in Hadoop by executing
performance scripts.
 Created Hive tables to store the processed results in a tabular format.Writing
the HIVE queries to extract data as per business requirement.
 Involved in Requirement Gathering, Analysis & Design.
 Managed Promotion Data on Cluster of 5 nodes with size of data close to 1000
GB on weekly basis.
 Analyze Log Files for Processed / Missing Promotions using Flume & loading to
HDFS.
 Promotion File reformatting and basic validation for large sets of Structured
data through PIG.
 Imports Stores / Item data from external structured datastores (SQL Server)
into HADOOP using SQOOP.Process the data using PIG & HIVE. Procesed data
is loaded to HBASE / HIVE Tables for Analysis & Report Generations.
 Data is processed using Map Reduce and file will be created for different feed
for Customer Data Warehouse and item movement Data warehouse.
 Storage of 7 days old raw Promotion / Coupon / Forecasting data in HDFS.
Mphasis Sep 2015 – Feb 2016
Application : Marketing & Merchandising, Item Maintance
Role : Developer
Project : Copient Coupon Billing & Item Billing.
Client : ROYAL AHOLD, USA
Environment : PIG, HIVE, SQOOP, HBASE, FLUME, HDFS, UNIX.

3. Vineet Anand
Project Description:
Vendor Promotes there Item(s) thru promotions which comes as part of Coupons.
Two types of Coupons (i) Copient Coupon – For the Customers who are enrolled in
the Stores (ii) Comes as New paper promotions After sales the discount has to be
reimbursed & has to be maintained in the system for the period of 6 Months for
Audit. Volume of data is huge & takes time to send feed to AFS. Big Data processing
was introduce to overcome the data processing issue.
 Imported Promotional Data using Sqoop into Hive & HBASE from existing SQL
Server.
 Designed Reports for the BI Team using Sqoop to extract Data Into HDFS &
HIVE.
 Involved in Creating Tables in Hive, Loading Data & Query the data for
Business requirement.
 Process / Load large set of Structured & Semi Structured Data.
 Involved in Requirement Gathering, Analysis & Design.
Application : Marketing & Merchandising, Item Maintance Jan2015–July 2015
Role : Developer
Project : Item Cost Calculation (POC)
Client : ROYAL AHOLD, USA
Environment: PIG, HIVE, SQOOP, HDFS, UNIX.
Daily TLOG Files (Store Files) were cleansed & loaded into HDFS to know Profit &
Loss for all store across different Geographic location on daily basis.Item Cost feed
comes from different sources. To process the data in legacy system was taking
longer time as expected because of high vol. of data, causing delay for report
generation. Hadoop Frame work was introduced to load Store data to HDFS, process
the same & generate the report.
 Riting PIG scripts for transforming the data such as data cleansing, data
validation, joining the tables and storing the final results in the Hive tables.
 Involved in Requirement Gathering, Analysis & Design.
 Creation of Partioned Table in HIVE & loading data to same.
 Implemented sqoop command to import data from DB2 / SQL Serve to Hive.
Writing HIVE queries to extract data as per business requirement.