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I’m Ajith Kumar Rajasekaran, a data engineer with over six and a half years of experience building scalable data solutions across healthcare, finance, manufacturing, and insurance domains. I’m pursuing a Master’s degree in Applied Data Science at the University of Canterbury to deepen my expertise in emerging technologies. My industry experience, certifications, and commitment to excellence equip me well for rigorous postgraduate work and a technical part-time role.…I’m Ajith Kumar Rajasekaran, a data engineer with over six and a half years of experience building scalable data solutions across healthcare, finance, manufacturing, and insurance domains. I’m pursuing a Master’s degree in Applied Data Science at the University of Canterbury to deepen my expertise in emerging technologies. My industry experience, certifications, and commitment to excellence equip me well for rigorous postgraduate work and a technical part-time role.

Ajith Kumar Rajasekaran

Data Scientist, Full Stack Developer, Back-End Developer, +2

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I’m Ajith Kumar Rajasekaran, a data engineer with over six and a half years of experience building scalable data solutions across healthcare, finance, manufacturing, and insurance domains. I’m pursuing a Master’s degree in Applied Data Science at the University of Canterbury to deepen my expertise in emerging technologies. My industry experience, certifications, and commitment to excellence equip me well for rigorous postgraduate work and a technical part-time role.…I’m Ajith Kumar Rajasekaran, a data engineer with over six and a half years of experience building scalable data solutions across healthcare, finance, manufacturing, and insurance domains. I’m pursuing a Master’s degree in Applied Data Science at the University of Canterbury to deepen my expertise in emerging technologies. My industry experience, certifications, and commitment to excellence equip me well for rigorous postgraduate work and a technical part-time role.

Available to hire

I’m Ajith Kumar Rajasekaran, a data engineer with over six and a half years of experience building scalable data solutions across healthcare, finance, manufacturing, and insurance domains. I’m pursuing a Master’s degree in Applied Data Science at the University of Canterbury to deepen my expertise in emerging technologies.

My industry experience, certifications, and commitment to excellence equip me well for rigorous postgraduate work and a technical part-time role.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Consultant at Deloitte

November 1, 2024 - Present

Led cross-functional data initiatives across manufacturing and finance domains; partnered with stakeholders to define KPIs and streamline business intelligence data models; conducted root-cause analysis for data discrepancies, improving metric reliability by 15%; designed and implemented advanced data pipelines on Snowflake and AWS platforms for enterprise clients; collaborated with business and analytics teams to define data modelling standards and governance frameworks; mentored junior engineers on modern ELT practices and cloud data architecture patterns.

Senior Data Engineer at PhData

September 1, 2023 - November 1, 2024

Acted as offshore lead for building healthcare financial data warehouses using Snowflake; designed end-to-end data pipelines with Fivetran, DBT, and Snowflake to automate ingestion from 20+ sources; implemented data transformation frameworks to standardize financial data across business units; built scalable DBT transformation layers for metric computation, improving reporting efficiency by 25%; engineered real-time data pipelines using AWS Kinesis, Firehose, and Snowpipe for environmental and manufacturing use cases.

Data Engineer at Noodle.ai

November 1, 2022 - September 1, 2023

Orchestrated data workflows using Airflow DAGs, integrating data from multiple on-prem and cloud sources; developed and enforced data validation frameworks using Great Expectations; integrated Google BigQuery data into Snowflake using AWS Glue for unified analytics; developed modular DBT models (staging, intermediate, marts) to optimize downstream reporting.

Consultant at IBM

June 1, 2021 - October 1, 2022

Created reusable Python modules for automated metadata extraction and EDA; strengthened data governance and audit compliance through metadata management and lineage tracking; reduced monthly reporting turnaround time by 30% through automation and data pipeline optimization; automated data ingestion and transformation workflows using DBT and Airflow, ensuring high reliability; performed data quality audits and implemented monitoring dashboards for proactive issue detection.

Senior Systems Engineer at Cognizant

April 1, 2019 - June 1, 2021

Developed and maintained ETL pipelines using DataStage, NiFi, and AWS Glue for banking and insurance clients; migrated legacy ETL systems from Netezza to Snowflake, enabling modern analytics; built NiFi pipelines to ingest Oracle data into AWS S3 and implemented Snowpipe for near real-time loading.