Amarendra Chaudhary

CTO

Bengaluru, Karnataka, India10 yrs 6 mos experience

Key Highlights

  • Expert in architecting scalable data solutions.
  • Proven track record in cloud migrations and data optimization.
  • Strong leadership in mentoring and team collaboration.
Stackforce AI infers this person is a Data Engineering expert in Fintech with strong cloud architecture skills.

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Skills

Core Skills

Data EngineeringCloud PlatformsData Architecture

Other Skills

AWS CloudFormationAWS GlueAWS IAMAWS LambdaAWS S3AnalyticsAzure Data FactoryAzure Data LakeAzure DatabricksData ModelingData PipelinesData QualityData VaultData VisualizationData Warehousing

About

As a highly skilled Lead Data Engineer with 10+ years of experience, I specialize in architecting, developing, and optimizing data pipelines and data solutions across various industries, including financial services, logistics, and technology. My core expertise lies in ETL/ELT processes, real-time data processing, cloud migrations, and data warehousing, with hands-on experience in building scalable, high-performance systems using leading cloud platforms such as AWS and Azure. I hold an AWS Certified Solutions Architect - Professional certification, which underscores my deep understanding of cloud architecture and my ability to design and implement secure, scalable, and cost-efficient cloud solutions. At JP Morgan & Chase, I modernized legacy data infrastructure by migrating to AWS Redshift and designing automated ETL pipelines using Glue and S3. I optimized data access through Looker dashboards and reduced costs by leveraging serverless technologies. In my previous roles, I led data engineering teams and collaborated with data science teams to provide structured, clean datasets, ensuring data quality and reliability. I’ve also developed Airflow DAGs, automated data workflows, and refactored Spark code to improve code coverage and maintainability. My projects span across Azure Data Factory (ADF) for batch processing, and I have extensive experience with Kafka, Redshift, EMR, and PySpark. In addition to my technical skills, I am passionate about data security and have successfully implemented data encryption, role-based access control, and cloud security best practices across multiple projects. I thrive in collaborative environments, always aiming to foster innovation and efficiency through mentoring, cross-team collaboration, and leveraging cutting-edge tools and methodologies. Key Skills: •Cloud Platforms: AWS (Redshift, Glue, EMR), Azure (ADF, Databricks) •Data Engineering: ETL/ELT, Data Warehousing, Real-time Processing •Tools & Technologies: PySpark, Kafka, Airflow, Snowflake, Terraform, SQL •Security: Data Encryption, IAM, Role-Based Access Control, VPC Configurations •Leadership: Team Leadership, Mentoring, Cross-functional Collaboration •Certifications: AWS Certified Solutions Architect - Professional With a strong commitment to innovation, I am always seeking opportunities to solve complex data problems, enhance data-driven decision-making, and contribute to the success of dynamic teams and forward-thinking organizations.

Experience

Lseg

Senior Lead Engineer

Apr 2025Present · 11 mos · Bengaluru · Hybrid

  • Engineering Leader with 10+ years of experience building scalable, secure, and high-performance data platforms—now seeking to bring this expertise to our mission of transforming global financial markets through data. I specialize in designing and maintaining robust ETL pipelines using Python and Spark, and I’ve led multiple migrations to modern data lakehouse architectures on AWS, including Iceberg-based solutions.
  • At previous organization, I’ve been at the forefront of optimizing large-scale workflows using AWS Glue, Glue Data Catalog, Lambda, and S3, ensuring performance, compliance, and data integrity. I’ve established best practices for coding, system design, and pipeline governance, while collaborating cross-functionally to translate complex requirements into production-ready solutions.
  • Key accomplishments include:
  • Driving the migration of legacy systems to Iceberg-based lakehouse models.
  • Implementing data quality and governance frameworks that improved reliability and reduced reprocessing by over 40%.
  • Mentoring teams and leading architectural decisions in agile environments.
  • Proactively improving system performance and scalability through Spark optimization and AWS-native automation.
  • I’m excited about the opportunity to contribute to LSEG’s global impact by building high-quality, secure data solutions that power financial transparency and innovation.
ETL pipelinesPythonSparkAWS GlueAWS S3Data Engineering+1

Jpmorgan chase & co.

Data & Devops Engineer

Oct 2022Apr 2025 · 2 yrs 6 mos · Bengaluru, Karnataka, India · Hybrid

Data PipelinesAWS IAMSolution ArchitectureDevOpsAWS CloudFormationData Engineering+1

A.p. moller - maersk

Senior Data Engineer

Apr 2021Oct 2022 · 1 yr 6 mos · Bangalore Urban, Karnataka, India

Data PipelinesData QualityData VaultData ModelingData EngineeringData Architecture

Epsilon

Software Engineer

Jan 2020Mar 2021 · 1 yr 2 mos · Bengaluru Area, India

Data PipelinesData QualitySnowflake CloudData EngineeringData Architecture

Evalueserve

Senior Business Analyst

May 2019Jan 2020 · 8 mos · Bengaluru Area, India

Data PipelinesData QualityData Engineering

Ust global

Sr Software Developer

Sep 2018Apr 2019 · 7 mos · Bengaluru, Karnataka, India

Data PipelinesDatabasesData Engineering

Hexaware technologies

Software Engineer

Jul 2015Aug 2018 · 3 yrs 1 mo · Hexaware Technologies Ltd

  • Working as an ETL Developer for past 3years and worked in Oracle DB. Have good exposure in different verticals such as BFS and H&I
Data PipelinesDatabasesData Engineering

Education

JIS College of Engineering 123

Bachelor of Technology (B.Tech.) — Information Technology

Jan 2011Jan 2015

Indira Gandhi Senior Secondary School

ICSE and ISC — Science

Jan 2002Jan 2011

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