Jiku Sandilya

About Jiku Sandilya

I’m a Data Engineer with 5+ years of experience in developing scalable data platforms and building robust, end-to-end ETL pipelines across AWS and Azure cloud. I specialize in PySpark, Databricks, and Airflow, with a strong focus on developing reusable, production-grade frameworks that improve performance, reduce cost, and accelerate delivery for data engineering teams.At Thoughtworks and CGI, I’ve implemented multiple cloud-native data initiatives—designing data lakes using Delta Lake and Medallion architecture, orchestrating Spark jobs via Airflow and ADF, and building modular pipelines for ingestion from SFTP, RDBMS, and APIs. My work has improved pipeline reliability, reduced AWS Glue costs by 30%, and shortened delivery timelines by more than 60%.I\'m deeply passionate about workflow automation and building scalable solutions that empower cross-functional teams to make data-driven decisions. I’m particularly interested in expanding my expertise in streaming data architectures (Kafka, Spark Structured Streaming) to enable real-time data processing at scale.As a continuous learner, I’m also excited to explore the intersection of Data Engineering, Machine Learning, and Generative AI, and how modern data platforms can serve as a foundation for intelligent systems.Core Technologies: PySpark, Databricks, Airflow, AWS Glue, EMR, S3, Lambda, Azure Data Factory, Delta Lake, Spark SQL.

Experience

1. Data Engineer Ii

   Amazon

   Mar 2026 — Present · Bengaluru, IN

Education

• National Institute of Technology Silchar

  Bachelor of Technology - BTech, Electrical Engineering

  2016 — 2020

• Ramanujan Junior College, Nagaon

  Higher Secondary

  2014 — 2016