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Ajay Singh

@Ajay_Singh

Data Engineer at Quantiphi Analytics

Bengaluru, Karnataka, India

Quantiphi AnalyticsLakshmi Narain College of Technology

Data Engineer with strong software engineering fundamentals and hands-on experience building scalable, fault-tolerant data pipelines on GCP using Python, SQL, Airflow, BigQuery, and DBT. Experienced in refactoring legacy systems into optimized cloud-native architectures with strong focus on performance tuning, cost optimization, and data correctness.

Experience

Data Engineer

Quantiphi Analytics

Jun 2024 - PresentBangalore, Karnataka

Led end-to-end data migration initiatives from legacy Mainframe and Exasol systems to GCP BigQuery, designing scalable, cloud-native ETL pipelines to support critical business domains. Built and orchestrated 15+ data workflows using GCP Composer (Apache Airflow), managing complex job dependencies, automated scheduling, monitoring, and failure handling across ingestion and transformation layers. Analyzed and refactored 50+ legacy SQL scripts into BigQuery-compatible SQL, ensuring data accuracy, functional parity, and successful validation through collaboration with business and QA teams. Designed analytics-ready data models using DBT, implementing star schema–based dimensions and fact tables and developing 10+ reusable macros and standardized transformation layers. Optimized BigQuery and DBT performance, reducing query execution time by 30–40%, lowering processing costs by 20%, and improving downstream reporting reliability and data availability.

Education

Lakshmi Narain College of Technology

Bachelor of Engineering

Computer Science

Jan 2020 - Jan 2024Grade: 8.6

Licenses & Certifications

Google Cloud Associate Cloud Engineer

Google Cloud

• No expiration

Google Cloud Professional Data Engineer

Google Cloud

• No expiration

Skills

Python
SQL
Spark
DBT
React
ETL/ELT
Apache Airflow
Data Warehousing
DBMS
Data Modeling
GCP
BigQuery
Composer
Cloud Storage
Cloud Functions
Git/Bitbucket
Docker
CI/CD
Jupyter
VS Code