Mohd Khalid Faizan
Data Engineer
New Delhi,DL
Summary
Accomplished Data Engineer with 7 years of expertise in designing and orchestrating multi-cloud data solutions across Azure, AWS, and GCP. Proficient in building robust ETL/ELT pipelines using tools such as Azure Data Factory, AWS Glue, and Airflow, complemented by operational ETL experience with SSIS/SSRS in the insurance sector. Skilled in data warehousing technologies like Snowflake and BigQuery, with advanced capabilities in Python/PySpark and DevOps practices. Committed to leveraging extensive data engineering knowledge and innovative Generative AI (LLM) skills in a challenging and dynamic work environment.
Overview
9
9
years of professional experience
Work History
Data Engineer
Cotality
09.2025 - Current
- Performing operational tasks within the insurance domain, ensuring reliable data flow and processing using Microsoft BI tools.
- Managing and maintaining SSIS (SQL Server Integration Services) packages for critical ETL operations and data transformations.
- Developing and deploying reports using SSRS (SQL Server Reporting Services) to support business intelligence and regulatory requirements.
- Utilizing SSMS (SQL Server Management Studio) for database administration, service monitoring, and data quality checks within the SQL Server environment.
- LLM Proof of Concept (POC) Project (Internal Innovation)
- Initiated and developed an internal POC for integrating Large Language Models (LLMs) to automate the extraction and summarization of key data from complex, unstructured insurance documents.
- Evaluated open-source LLMs and frameworks for potential use in operational data ingestion and reporting, focusing on enhancing efficiency of the insurance claims process.
Data Engineer
Webonise Lab Pvt Ltd.
05.2022 - 09.2025
- Architected and developed a comprehensive Snowflake Data Warehouse solution for migrating SAP and on-premise transactional data, enabling advanced analysis and reporting.
- Designed and implemented end-to-end ETL/ELT pipelines across AWS and GCP, utilizing AWS Step Functions, AWS Glue, AWS Aurora, and Google Dataflow for robust data orchestration and processing.
- Executed a customer-level data migration plan, ensuring successful data integrity checks and preventing operational overload during the transition phase.
- Engineered PySpark scripts to efficiently extract and transform data from diverse on-premise and AWS databases for consumption in downstream systems.
Data Engineer
Microland Ltd.
05.2021 - 04.2022
- Designed and developed ETL pipelines using Azure Data Factory (ADF) to ingest data from on-premise sources to different layers within Azure Data Lake Storage (ADLS).
- Implemented a dynamic pipeline framework in ADF to extract and load multiple files into various targets, significantly improving data ingestion efficiency.
- Gained hands-on experience utilizing Docker and Kubernetes for containerization and orchestration of data processing applications.
Software Engineer
Sofzer Technologies Pvt Ltd.
04.2017 - 06.2019
- Developed and maintained ETL pipelines using Azure Data Factory, focusing on data flow transformations and activities to meet specific business requirements.
- Responsible for scheduling and monitoring data pipelines to ensure timely and accurate data delivery.
Education
Data Science, Big Data Analytics
Jawaharlal Nehru University
New Delhi08.2020
MBA - Operations Management (DLP)
ICFAI Sikkim
01.2017
B.Tech - Computer Science
Integral University
Lucknow06.2012
Skills
Cloud Platforms: Azure, AWS, GCP (Google Cloud Platform)
Timeline
Data Engineer
Cotality
09.2025 - Current
Data Engineer
Webonise Lab Pvt Ltd.
05.2022 - 09.2025
Data Engineer
Microland Ltd.
05.2021 - 04.2022
Software Engineer
Sofzer Technologies Pvt Ltd.
04.2017 - 06.2019
MBA - Operations Management (DLP)
ICFAI Sikkim
B.Tech - Computer Science
Integral University
Data Science, Big Data Analytics
Jawaharlal Nehru University