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Aditi Vaidya

@aditivaidya

Message

Senior Data Engineer at Konverge.AI building AWS lakehouse pipelines that reduced processing time by 30%.

India

Message

At Konverge.AI, I develop PySpark and Spark Streaming pipelines on AWS and build lakehouse solutions with AWS S3, AWS Glue, and Apache Iceberg. I also designed analytics models in Databricks and Azure Synapse Analytics; AWS Redshift workloads saw processing time reduced by 30%.

Previously, I designed and maintained production pipelines at Cognizant using Informatica, Talend, and PySpark, and optimized queries in BigQuery and Azure Synapse Analytics. I hold Microsoft Fabric Data Engineer Associate (DP-700) certification and have also built a Python face-recognition bot for restricted-zone security.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Konverge.AI

Jul 2025 - Present (1 year 4 months)

Developed and deployed PySpark and Spark Streaming ETL/ELT pipelines on AWS for structured and semi-structured data. Implemented Bronze, Silver, and Gold layers in a data lake environment and built lakehouse solutions with AWS S3, AWS Glue, and Apache Iceberg.

PySpark

Spark Streaming

ETL ELT AWS S3 AWS Glue Apache Iceberg Databricks Delta Lake Delta Live Tables Azure Synapse ADLS AWS RedShift

Data Engineer

Impetus

Jun 2025 - Jul 2025 (1 month)

Implemented CI/CD pipelines through Azure DevOps and GitHub for data engineering delivery. Tuned batch and real-time ETL/ELT pipelines on Unix/Linux and maintained documentation for data architectures.

CI CD Azure DevOps GitHub ETL ELT Unix Linux

Programmer Analyst

Cognizant

Feb 2022 - Dec 2024 (2 years 10 months)

Designed and maintained production ETL/ELT pipelines using Informatica, Talend, and PySpark. Applied dimensional modeling and star and snowflake schemas to integrate warehouse data across SQL Server, Oracle, and AWS Redshift.