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Data Engineer offering expertise in problem-solving, optimization, data analytics and big data management. Adept at quickly learning new technologies and processes for driving challenges. Proven track record of successfully managing multiple projects and developing innovative solutions.

Experienced technical engineer familiar with user support and root cause analysis. Advanced knowledge of Azure Big Data operations and dedication to see issues through to end. Works well in remote and desk-side environments. My objective is to maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills. I strive to be a dedicated cloud services professional with history of meeting company goals utilizing consistent and organized practices. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organizational brand. Technology-oriented individual delivers product fixes and troubleshoot technical problems quickly. A confident Customer Support Engineer with expertise in help desk environments assisting customers while promoting efficiency, respect and patience.


  10+ years of proven ability to identify cutting-edge solutions that meet client requirements through the assimilation of apparently disparate platforms.
  7+ years of experience in BigData platforms.
  1.5 year of Experience in the US as a Senior BigData Engineer
  Extensive experience in Big Data solutions using Hadoop eco system, Azure Databricks, Snowflake and Hive
  Versatile in providing solutions for cloud based IAAS, CAAS systems using AWS and Docker
  Expertise in components of Azure Databricks and Hadoop Ecosystem - DataBricks, Data Factory, Deltalake, Hive, Pig, Sqoop, Impala, Flume, Zookeeper, Oozie, Airflow, and Apache Spark.
  Experienced in Creating, Debugging, Scheduling and Monitoring jobs using Azure Data Factory, Airflow and Oozie.
  Having sound experience in Big Data experience in Ingestion, Aggregation, suppression, storage, querying, processing and analysis of big data.
  Excellent understanding/knowledge of Hadoop architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, YARN and MapReduce programming paradigm.
  Very good experience in the Application Development and Maintenance of SDLC projects using various technologies such as NodeJs, React, JavaScript, Scala, Php, Data Structures, UNIX shell scripting etc.
  Strong understanding of the entire AWS Product and Service suite primarily Amazon EC2, Amazon S3, Amazon RDS, VPC, IAM, Amazon Elastic Load Balancing, Auto Scaling, Cloud Front, Cloud Watch, SNS, SES, SQS and other services of products and their applicable use cases, best practices and implementation, and support considerations.
  Experience in importing and exporting data from different RDBMS like MySQL, Oracle and SQL Server into HDFS and Hive using Sqoop.
  Expertise in designing clustered tables on Snowflake database to improve query performance for consumers.
  In-Depth understanding of Snowflake as SaaS cloud technology.
  Good understanding of NoSQL databases and hands on experience in writing applications on NoSQL databases like HBase.
  Experience in developing custom MapReduce programs using Apache Hadoop to perform Data Transformation and analysis as per requirement.
  Experience on Creating Internal and External tables and implementation of performance improvement techniques using partitioning tables, bucketing tables in Hive.
  Experience in analyzing data using HBase and custom Map Reduce programs in Java.
  Experience in creating PIG and HIVE UDFs using java in order to analyze data sets.
  Worked on reading multiple data formats on HDFS using Spark API's.


Big Data Engineer with over three years of experience in optimizing data architecture and enhancing data quality. Demonstrated expertise in developing automated data pipelines and robust ingestion processes that streamline operations and reduce manual entry. Proven ability to collaborate with cross-functional teams, leading to improved data accuracy and security. Committed to leveraging advanced visualization techniques to convert financial data into actionable insights for strategic growth.

Karthika Selvam

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Big Data Specialist

Data Engineer

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B.tech Computer Science and Engineering -

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Data Engineer

Big Data Specialist

B.tech Computer Science and Engineering -

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