Summary
Overview
Work History
Education
Skills
Certification
Timeline
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John Abhilash Eguru

John Abhilash Eguru

Summary

Data Engineer with three years of experience in Snowflake and AWS, seeking a transition to a dynamic company that offers strong career growth opportunities.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Data Engineer

BOOTLABS
Bangalore
08.2023 - 02.2025
  • Designed a scalable and automated pipeline to move data from OLTP systems (AWS RDS, Salesforce SFDC) to Snowflake via an S3-based Data Lake.
  • Performed ETL transformations on raw S3 data using AWS Glue, then moved curated outputs to a new S3 layer for Snowflake ingestion.
  • Enabled real-time ingestion with Snowpipe and used External Tables for querying large S3 datasets without full loading.
  • Automated batch loads using COPY INTO, Stored Procedures, and Tasks based on data volume and frequency.
  • Used staging tables in Snowflake to validate, deduplicate, and transform data before applying SCD logic.
  • Implemented SCD Type 1 and Type 2 using MERGE, Streams, and Tasks for versioned data loads.
  • Reduced processing time by loading only new or changed data instead of full refreshes.
  • Optimized data access and performance using clustering keys, staging layers, and Materialized Views.
  • Used transient tables for intermediate processing and external stages for S3 integration, reducing storage costswithout losing historical access.
  • Automated schema updates and pipeline deployments using GitHub Actions and CI/CD workflows.
  • Enforced data governance with RBAC and column-level masking to protect sensitive data.

Data Engineer

WIPRO
Chennai
08.2021 - 02.2023
  • Ingested real-time and batch data from external APIs using AWS Lambda and stored it in Amazon S3.
  • Automated data loading into Snowflake using Snowpipe with event-driven triggers for real-time ingestion.
  • Processed and transformed incoming JSON using Python (Lambda) and SQL logic within Snowflake.
  • Optimized API-based ingestion pipeline by designing efficient event-driven data flow and transient staging layers in Snowflake for validation and processing.
  • Secured cross-service access with IAM roles and Snowflake storage integrations.
  • Implemented row-level security and data masking policies to safeguard sensitive PII data.
  • Monitored data pipeline health and performance using AWS CloudWatch and Snowflake pipe notifications.
  • Automate schema updates and pipeline changes using GitHub Actions or another CI/CD tool.

Education

Bachelor of Engineering - Electrical, Electronics And Communications Engineering

Saveetha School of Engineering
Chennai
05-2021

Skills

  • Snowflake
  • Data Modeling
  • Data Pipeline
  • SQL
  • CI/CD
  • Event Bridge
  • DBT
  • ETL
  • AWS
  • Github
  • AWS Lamda
  • Amazon RDS
  • Python
  • AWS Athena
  • Data warehousing
  • Power BI
  • AWS Glue Job

Certification

  • AWS Certified Cloud Practitioner

Timeline

Data Engineer

BOOTLABS
08.2023 - 02.2025

Data Engineer

WIPRO
08.2021 - 02.2023

Bachelor of Engineering - Electrical, Electronics And Communications Engineering

Saveetha School of Engineering

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John Abhilash Eguru