Kamlesh Kumar

Senior Data Engineer @Convex Insurance

London, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Dec 2023 — Present

Senior Data Engineer @Convex Insurance

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London, GB

EDUCATION

2000 — 2004

RVP High School,Tenughat

class X, Mathematics

2004 — 2006

Gossner College

class XII, Maths,Physics,Chemistry

2007 — 2011

Rajiv Gandhi Prodyogiki Vishwavidyalaya

Bachelor of Engineering (BE), Electronics and Communications Engineering

SKILLS

Big DataJavaHbaseShell ScriptingDatabasesSystems AnalysisHp Quality CenterMapreduceData WarehousingCobolMysqlSdlcApache PigFlumeMachine LearningIbm Db2Core JavaUnixJob Control Language (Jcl)Cloudera ImpalaSqoopPerformance TuningMavenSqlLinuxBasics of UnixData MigrationPl/SqlEtlExtract, Transform, Load (Etl)OracleRequirements AnalysisNumpyMainframeMicrosoft ExcelInformaticaHadoopHiveOozieSoftware Development

ABOUT KAMLESH KUMAR

A Data Engineer having 12+ years of experience in cloud technologies & BigData.Data Pipeline Development: Specialised in using Python & SQL, with extensive experience in Airflow, dbt & prefect.Data Modelling: Skilled in dbt for data modelling using Dimensional Data modelling techniques.Python Development: Proficient in Python-based development, implementing solutions on cloud platforms.Streaming Technologies: Experienced with Spark/Pyspark on GCP Dataproc and streaming technologies including Kafka, GCP Pub/Sub, and Dataflow.Containerisation: Proficient in using Docker for containerisation and deploying applications to Kubernetes clusters on GKE(GCP) and EKS(AWS).Infrastructure: Used Terraform to manage infrastructure in AWS and GCP.AWS Services: Utilised AWS Lambda functions and SQS for building real-time data pipelines.Monitoring and Notifications: Created dashboards and a notification framework using Datadog and AWS CloudWatch logs.CI/CD and Testing Frameworks: Developed CI/CD pipelines using GitHub Actions and GitLab, used pytest to build test framework.Database Management: Experienced with relational and NoSQL databases, including extensive use of the Hadoop 2.0 (Cloudera) framework.Data Integration: Worked with Informatica Power Center v9.1 to build and manage end-to-end data pipelines, integrating data from various sources (XML, JSON, CSV, DBs) to Oracle DB.#Skills and Competencies* Language : Python, SQL, Scala* Cloud Platform : AWS & GCP* Data Ingestion : Fivetran, Airbyte, Kafka, Python Scripts* Data Transform : dbt, SQL, Databricks Spark/PySpark* Pipeline : Apache Airflow, Prefect, Dagster* Data Modelling : Dimensional Modelling, Facts & Dimensions, SCD1 & SCD2* DataWarehouse : Google Bigquery, AWS Redshift, Snowflake* ETL : Informatica Power Center 9.1* CI/CD : Jenkins, Docker, Kubernetes, Github Actions & Gitlab Pipelines

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Kamlesh Kumar — Senior Data Engineer at Convex Insurance in London, GB | Unifers