Data Developer

Srijan Srivastava

Big Data Developer

+91-740*******

******.*********@*****.***

Bengaluru, IN

SUMMARY

2.5+ years experienced & result oriented Big Data Developer possessing a proven track record of developing big data solutions & managing file distribution systems in Big Data arena.Highly skilled in processing complex data & experienced in requirement understanding.

KEY SKILLS

• Data Processing • Big Data Analytics • Product Design & Development

• Research, Reporting & Documentation

TECHNICAL SKILLS

PROFESSIONAL EXPERIENCE

Big Data Developer Aug '16 - Present

ITC Infotech India Limited Bengaluru, IN

ITC Infotech is fully owned subsidiary of ITC Limited. PROJECTS

PROJECT 1: 1 Healthcare Insights

Bangalore Dec '18 - Till Now

Client: Client ITC Infotech

Environment: Windows/Linux, HortonWorks (HDP), Intellij Idea, Spark, Scala, Hive. PROJECT 2: 2 Graph Loader

Bangalore Nov '17 - Oct' 18

Client: Client Virgin Money

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Big Data Ecosystem: Hadoop, Spark, Hive, Sqoop,Impala,Airflow,Kylin . Languages: Core Java,Scala

Database: Neo4J

Standardized practices for data acquisition, data ingestion & analysis to deliver solutions. Developed big data solutions using various big data technologies i.e. Hadoop, Hive, Spark and Neo4j. Understanding of the complex Healthcare data .

Overcame the challenge of storing & processing of voluminous structured data via Big Data Hadoop Framework . Transferred data into HDFS & stored them in the form of Hive tables. Processed the voluminous data using Apache Spark . Created a pipeline to convert different Hive Tables into Spark Dataframes and then creating the required output in the form of score key. key

Generation of various CSVs as output files that could be used by visualization tools. Environment: Windows/Linux, Cloudera, Hive, Neo4j,Core Java. PROJECT 3: Airline Data Analysis

Chennai Jan '17 - Jul '17

Client: Client Fly Dubai

Environment: Linux, Hive, Hadoop, Kylin,Cloudera

EDUCATION

B.E - Electronics & Telecommunication Aug '12 - Jul '16 Bharati Vidyapeeth's College Of Engineering Pune, IN

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CERTIFICATIONS

Overcame challenges of storing & processing voluminous structured/semi-structured data via Big Data Hadoop Framework

Transferred data into HDFS & analyzed process universe via Hive. Converted semi-structured XML data into a structured format to enable further processing using Hive & Neo4j. Created nodes and edges in Neo4j as per the business requirement. Transferring of structured data into HDFS and creation of hive tables. Designing various OLAP models, facts and dimensions & OLAP cubes in Apache Kylin. Rendered insights on airport listing, airlines sharing airports, airlines with zero stops,etc Big Data Hadoop Certification Training Edureka '17

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