Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Aravind Kumar Rajendran, a Big Data Architect with over 20 years of IT experience, including more than a decade designing and deploying scalable data pipelines in finance, healthcare, and technology. I specialize in building robust, cloud-native data platforms with PySpark, AWS Glue, Amazon Redshift, Databricks, Snowflake, and related tools to deliver secure, high-throughput ETL and analytics capabilities. I lead global teams to optimize distributed systems for performance and cost efficiency in AWS, implement governance and security with Lake Formation, Delta Lake, and IAM, and align technical solutions with business goals through agile collaboration and cross-functional partnership.…Hi, I'm Aravind Kumar Rajendran, a Big Data Architect with over 20 years of IT experience, including more than a decade designing and deploying scalable data pipelines in finance, healthcare, and technology. I specialize in building robust, cloud-native data platforms with PySpark, AWS Glue, Amazon Redshift, Databricks, Snowflake, and related tools to deliver secure, high-throughput ETL and analytics capabilities. I lead global teams to optimize distributed systems for performance and cost efficiency in AWS, implement governance and security with Lake Formation, Delta Lake, and IAM, and align technical solutions with business goals through agile collaboration and cross-functional partnership.

Aravind Kumar Rajendran

Data Scientist, Data Analyst, Full Stack Developer, +2





Hi, I'm Aravind Kumar Rajendran, a Big Data Architect with over 20 years of IT experience, including more than a decade designing and deploying scalable data pipelines in finance, healthcare, and technology. I specialize in building robust, cloud-native data platforms with PySpark, AWS Glue, Amazon Redshift, Databricks, Snowflake, and related tools to deliver secure, high-throughput ETL and analytics capabilities. I lead global teams to optimize distributed systems for performance and cost efficiency in AWS, implement governance and security with Lake Formation, Delta Lake, and IAM, and align technical solutions with business goals through agile collaboration and cross-functional partnership.…Hi, I'm Aravind Kumar Rajendran, a Big Data Architect with over 20 years of IT experience, including more than a decade designing and deploying scalable data pipelines in finance, healthcare, and technology. I specialize in building robust, cloud-native data platforms with PySpark, AWS Glue, Amazon Redshift, Databricks, Snowflake, and related tools to deliver secure, high-throughput ETL and analytics capabilities. I lead global teams to optimize distributed systems for performance and cost efficiency in AWS, implement governance and security with Lake Formation, Delta Lake, and IAM, and align technical solutions with business goals through agile collaboration and cross-functional partnership.

Available to hire

Hi, I’m Aravind Kumar Rajendran, a Big Data Architect with over 20 years of IT experience, including more than a decade designing and deploying scalable data pipelines in finance, healthcare, and technology. I specialize in building robust, cloud-native data platforms with PySpark, AWS Glue, Amazon Redshift, Databricks, Snowflake, and related tools to deliver secure, high-throughput ETL and analytics capabilities.

I lead global teams to optimize distributed systems for performance and cost efficiency in AWS, implement governance and security with Lake Formation, Delta Lake, and IAM, and align technical solutions with business goals through agile collaboration and cross-functional partnership.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Big Data Architect at Panasonic Avionics Corporation

January 1, 2023 - Present

Architected scalable data platforms to support big data analytics, machine learning, and real-time processing. Designed and optimized data pipelines using SQL and Python for ETL workflows, collaborating with the Data Lake team for source data ingestion and implementing performance improvements to reduce AWS Glue job runtimes and costs. Implemented Delta Lake for ACID transactions, schema enforcement, time travel, and reliable data versioning. Implemented AWS Lake Formation for centralized data lake security, governance, and fine-grained access control. Integrated data from multiple AWS sources including S3, RDS, DynamoDB, Redshift, Spark Streaming and Kafka. Ingested Snowflake tables into the AWS data lake for downstream analytics and reporting. Architected scalable data platforms on Databricks to support big data analytics, machine learning, and real-time processing.

Big Data Architect at Intuit Inc

December 1, 2019 - January 1, 2023

Led the architecture and software development of the DAC platform, enabling ad-hoc analytics in AWS, building notebooks and Spark jobs in Databricks, implementing PySpark with DataFrames and Spark SQL, and orchestrating complex pipelines with Amazon MWAA for reliable, scalable workflow scheduling and monitoring.

Big Data Architect at Panasonic Avionics Corporation

April 20, 2018 - December 31, 2019

Designed and developed end-to-end data ingestion and insights applications using AWS services including Lambda, Glue, S3, DynamoDB, Athena, and API Gateway; built PySpark-based Glue ETL jobs; implemented Spark-based data quality checks; automated cloud infrastructure and CI/CD with CloudFormation, CodePipeline, CodeBuild, and IAM; ingested Glance API data into Parquet format for analytics; led system architecture and cross-team SDLC collaboration.

Senior Data Engineer / Big Data Architect at Autodesk, Caterpillar, HCLTech, Fidelity, Mastek Limited and Syntel

January 1, 2004 - December 31, 2018

Built data lakes and warehouse reporting pipelines using Spark, PySpark, Hive and Redshift. Led data integration, reporting automation and data quality initiatives across multiple organizations.