Sonika Tiwari
Cloud data engineer
Talent
Swindon, Wroughton, SwindonMember since September 20, 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.
Education
Bachelor’s of engineering in
Information technology in
2010 with A grade.
Azure Az-900 certified.