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Amit Kumar Mehta

Amit Kumar Mehta

Data Lead at Coforge

Talent
GurgaonMember since June 10, 2026
PythonAirflowPySparkHadoopHiveSparkDockerKubernetesSnowflakeLambdaGlueDatabricksRedshiftSQLUNIXIBM Info-sphere DataStageControl-MSqoopCassandraActive BatchPower BIAWS DevOpsETLData QualityCI/CDData PipelinesMWAADBTData ModellingData Integration
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PythonAirflowPySparkHadoopHive

About

PL-300 Microsoft Power BI Data Analyst Associates Certified. AWS Certified (AWS Certified Cloud Practitioner (CLF)). 5+ years of experience in AWS Devops, Databricks, Power BI and SQL. Skilled in Python, Airflow, Pyspark, Hadoop, Hive, Spark, Docker, Snowflake, Lambda, Glue, Databricks, Redshift, SQLs, UNIX, IBM Info-sphere DataStage, Control-M, Sqoop, Cassandra, Active Batch and Control – M.

Experienced in developing complex ETL/SQL development, Data Quality, Quality Checks, CI/CD, building data pipelines using PySpark, Airflow and AWS, Snowflake, MWAA, DBT and Data Modelling. Been part of a team responsible for Business, Technical and Functional Requirements. Analytical and creative professional having problem solving skills.

Ability to grasp new technologies quickly.

Experience

Data Engineer at Coforge (2026-02 – Present)

Client: Mosaic Insurance (UK Market)

Data Engineer at BAM FUNDS (2023-09 – 2026-01)

Client: BAM FUNDS (Hedge Fund with AUM US$ 19.5 billion). As a key contributor at BAM FUNDS, I specialize in leveraging data from various vendors to analyze and generate market trends critical to informing strategic trading decisions. My responsibilities involve collaborating with different vendors and extracting valuable insights to drive portfolio management decisions.

  • Spearheaded the integration of diverse data sets from multiple vendors (Bloomberg, S&P Global, Earnest, wind etc.) utilizing tools such as Airflow, Aries Onboarding, and Redshift. This process involves meticulous data cleaning, transformation, and loading to ensure the availability of accurate and reliable information.
  • Applied advanced analytical techniques to interpret market trends and generate actionable insights. These insights serve as the foundation for informed decision-making by portfolio managers, contributing to the overall success of trading strategies.
  • Demonstrated proficiency in using tools like Airflow for efficient workflow management, Aries Onboarding for streamlined onboarding processes, and Redshift for high-performance data warehousing. This comprehensive toolset enhances the efficiency and effectiveness of data-driven operations.
  • Implemented automation solutions using Active Batch to optimize repetitive tasks, resulting in increased operational efficiency and reduced manual workload. This proactive approach has contributed to the seamless execution of daily operations within the hedge fund.
  • Utilized Power BI dashboards to create visually compelling and insightful reports. These reports provide stakeholders, including portfolio managers, with real-time data visualization, aiding in prompt decision-making and strategic planning.

Data Analyst at Deloitte Consulting India Private Limited (2021-02 – 2023-08)

Industry: Health Care.

Service Line: Data Delivery.

Data Engineering: 27 months.

Client Description: Baxter International Inc. is an American multinational health care company. The company primarily focuses on products to treat hemophilia, kidney disease, immune disorders and other chronic and acute medical conditions.

Sector: Supply chain, Spend Analytics, Financial Predictability Power Bi Reports, Monarch, IT Separation.

Role: Data Engineering development, Integration, Support of Client-Facing Application supporting Cloud based implementation, providing APEX & Power Bi Dashboards.

Technical Environment: AWS, Power Bi, MySQL server, UNIX(EMR), Postgres SQL, Snowflake, PySpark and Big Data.

  • Developing a machine learning price prediction model for medical products and medicine for warehouses of BAXTER across the globe.
  • Performed Exploratory Data Analysis to provide insights to the CAPEX and OVERHEAD expenditure using data visualization.
  • Analyzing BAXTER listings to predict optimal requirement based on attributes such as location, history, orders previously placed by the vendors etc.

Python Developer at Mobiloitte Technologies India Pvt. Ltd. (2020-08 – 2021-01)

Worked on Python Programming. Where I have worked in open-source libraries like Potrace and Pyx which is used for vector images in printing and commercial purposes.

Education

Bachelor of Technology in Electronics and Telecommunication – College of Engineering Roorkee (2016 – 2020)

Skills

Data Lead at Coforge

Reviews

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