Swindon, Wroughton, SwindonMember since 20 September 2023
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About
Objective
A seasoned professional offering nearly 4 years of experience in the development of Big Data Solutions with experience as a Hadoop Developer and Big Data Analyst.Total 7+ years of experience in IT sector.
Skilled in working on SQL and developing other Relational Database Management System which includes PostgreSQL and MSSQL Server
Experience with the latest Hadoop technologies, including HDFS, YARN, Pig, Hive, Sqoop, HBase and Zookeeper
Skilled at working in the Azure ecosystem, understanding the architecture, Skilled in using business intelligence tools for extracting and generating statistical analysis from Big Data
Ability to troubleshoot and tune relevant programming languages like SQL, Java, Python, Scala, Hive, RDDs, Data Frame & MapReduce. Able to design elegant solutions using problem statements.
Collaborating with data scientists, data analysts, and other stakeholders to understand their data needs and ensure that the client’s big data infrastructure supports their requirements.
Expertise in leveraging Apache Hadoop for efficient analysis of large datasets
Hands-on experience with eco-systems like Hive, Pig, Sqoop, MapReduce, Flume, and Oozie, extending core functionalities with custom UDFs.
Used Spark to improve Python programming skills and understanding of the architecture of Spark.
Practical experience in importing and exporting terabytes of data between HDFS and Relational Database Systems using Sqoop.
Skilled in data ingestion, extraction, and transformation using ETL processes with Hive, Sqoop, Kafka, Firehose, Flume, and Kinesis.
I have expertise in Hive queries and broad knowledge of joins for data parsing and analysis.
Skilled in developing reporting systems with Tableau.
Familiarity with cloud platforms such as AWS , Azure for scalable and cost-effective data processing and storage.
Possess strong analytical skills for troubleshooting and problem-solving.
Experience
Objective
A seasoned professional offering nearly 4 years of experience in the development of Big Data Solutions with experience as a Hadoop Developer and Big Data Analyst.Total 7+ years of experience in IT sector.
Skilled in working on SQL and developing other Relational Database Management System which includes PostgreSQL and MSSQL Server
Experience with the latest Hadoop technologies, including HDFS, YARN, Pig, Hive, Sqoop, HBase and Zookeeper
Skilled at working in the Azure ecosystem, understanding the architecture, Skilled in using business intelligence tools for extracting and generating statistical analysis from Big Data
Ability to troubleshoot and tune relevant programming languages like SQL, Java, Python, Scala, Hive, RDDs, Data Frame & MapReduce. Able to design elegant solutions using problem statements.
Collaborating with data scientists, data analysts, and other stakeholders to understand their data needs and ensure that the client’s big data infrastructure supports their requirements.
Expertise in leveraging Apache Hadoop for efficient analysis of large datasets
Hands-on experience with eco-systems like Hive, Pig, Sqoop, MapReduce, Flume, and Oozie, extending core functionalities with custom UDFs.
Used Spark to improve Python programming skills and understanding of the architecture of Spark.
Practical experience in importing and exporting terabytes of data between HDFS and Relational Database Systems using Sqoop.
Skilled in data ingestion, extraction, and transformation using ETL processes with Hive, Sqoop, Kafka, Firehose, Flume, and Kinesis.
I have expertise in Hive queries and broad knowledge of joins for data parsing and analysis.
Skilled in developing reporting systems with Tableau.
Familiarity with cloud platforms such as AWS , Azure for scalable and cost-effective data processing and storage.
Possess strong analytical skills for troubleshooting and problem-solving.
