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Chandrakant Singh

Chandrakant Singh

Serving Notice Period | Data Platform & Engineering | Big Data & ETL/ELT Specialist | Python, PySpark, Airflow | AWS | 3+ Years Experience.

Talent
NoidaMember since April 22, 2026
PythonSQLHiveQLPySparkSparkSpark SQLYARNHadoopHiveHDFSAWS EC2AWS S3AWS GlueAWS EMRAWS AthenaAWS RedshiftAWS LambdaAWS API GatewayAWS IAMAWS RDSETL/ELT PipelinesData ModelingData WarehousingFact/Dim DesignKubernetesCrontabGrafanaCI/CDDevOpsPL/SQL
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PythonSQLHiveQLPySparkSpark

About

Data Engineer with 3+ years of experience in designing, building, and optimizing scalable data pipelines, ETL processes, and cloud-based data warehouse solutions. Proficient in Python, SQL, and PySpark, with hands-on expertise in AWS (Redshift, Glue, S3, EMR), and Hadoop ecosystem.

Experience

Data Engineer at Lenskart (2025-03 – Present)

Data Engineer at Lenskart focused on optimizing SQL queries, developing ETL pipelines, and implementing Spark optimization techniques

  • Optimized a long-running SQL query, reducing execution time from several hours to 7 minutes, significantly improving performance and system efficiency
  • Developed a generalized Python script to securely execute multiple types of SQL queries (SELECT, INSERT, UPDATE, DELETE) from a single interface, improving code reusability and maintainability
  • Developed robust ETL pipelines in Python to ingest and transform data from diverse sources including AWS S3, GCP, MySQL, and MongoDB into AWS Redshift for centralized analytics and reporting
  • Implemented Spark optimization techniques such as caching, multithreading, and broadcast joins, resulting in a 20% decrease in processing time for handling a daily load of around 2 Million records

Engineer at IndiaMART InterMESH Limited (2023-08 – 2025-02)

Engineer focused on creating business-critical data warehouse projects and developing APIs for operational teams

  • Led the creation of business-critical projects in the data warehouse that empowered the Business Intelligence team, minimizing manual interventions and unlocking new insights
  • Enhanced facts and dimensions logic by identifying and eliminating erroneous logic, ensuring more reliable and accurate data models
  • Developed an API using PL/SQL, Datamart on Redshift, Materialized View, View, procedure on AWS RDS integrating on ERP screen for various Operations Team Performance Evaluation hosted on AWS Lambda, AWS API Gateway

Associate Engineer - Software Programming at IndiaMART InterMESH Limited (2022-08 – 2023-07)

Associate Engineer developing and optimizing facts, dimensions, and ETL/ELT pipelines for data warehouse

  • Achieved 20% cost optimization in AWS Redshift by auditing and eliminating unused facts, dimension and datamarts, reducing overall storage and operational costs
  • Developed and implemented various facts and dimensions, based on business requirements
  • Optimized the refresh time of facts and dimensions by refining procedures, views, and scripts written in PySpark and PL/SQL, improving data processing performance
  • Worked on ETL/ELT pipeline to ingest billions of rows of the data in the Data lake, Data Warehouse

Associate Software Engineer - Trainee at IndiaMART InterMESH Limited (2022-01 – 2022-06)

Trainee Associate Software Engineer working with Big Data team to understand big data tools and technologies

  • Provided data to different business teams as per the business requirement
  • Worked in Big Data team to understand various big data tools and technologies

Education

Bachelor of Technology in Computer Science Engineering – Harcourt Butler Technical University (2018-08 – 2022-07)

Senior Secondary School – Sri Chaitanya Junior Kalasala (2014-04 – 2016-03)

Skills

Serving Notice PeriodData Platform & EngineeringBig Data & ETL/ELT SpecialistPythonPySparkAirflowAWS3+ Years Experience.

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