Dharamvir singh singh

Software Development Engineer intern

Bengaluru, India 0+ yrs exp 71 · Very Good

About

No bio added yet

Skills & Expertise (54)

Python Intermediate

7.4/10

0.5

Years Exp

Pandas Intermediate

7.0/10

0.5

Years Exp

SQL Intermediate

7.0/10

0.5

Years Exp

BigQuery Intermediate

7.0/10

0.5

Years Exp

Tableau Intermediate

6.4/10

0.5

Years Exp

Cloud Computing Intermediate

6.0/10

0.5

Years Exp

Data Pipelines Intermediate

6.0/10

0.5

Years Exp

Docker Beginner

5.0/10

0.5

Years Exp

Git Beginner

5.0/10

0.5

Years Exp

JavaScript Beginner

5.0/10

0.5

Years Exp

Query Optimization RBAC Socket.IO API Design backend architecture C++ MongoDb NoSQL database design Indexing Object-Oriented Programming Transactions Computer Networks Database Management Systems GitHub System Design Operating systems Automation Debugging Testing Data Structures & Algorithms ELT Java Distributed Systems scalable services High Availability Fault Tolerance Capacity Planning Monitoring Observability Incident Management Databricks ETL JWT Authentication Data Warehousing Data Modeling MySql SQL optimization Data Monitoring Alerting Node.js Express.js REST APIs Microservices

Work Experience

Software Development Engineer intern – Data Engineering

DealShare (Merabo Labs Private Limited)

Jan 2026 - Jun 2026

Developed a scalable BigQuery monitoring pipeline in Databricks using Python and Pandas, automating telemetry collection, reporting, across 150+ production pipelines and 80+ Tableau data sources. Implemented automated anomaly detection, alerting, and service-health monitoring to identify abnormal BigQuery cost spikes, improving operational reliability, incident response, and platform stability. Optimized large-scale BigQuery SQL workloads through partition pruning, join optimization, and query refactoring, reducing scan costs by 57%, query runtime by 20%, and slot utilization by 19.7%. Engineered reusable BigQuery tables, materialized views, and automated data services to replace custom SQL models, improving performance, scalability, platform uptime, and cost efficiency by 50%.