Saleembasha Yamagiri

Saleembasha Yamagiri

Data Engineer


About

Data Engineer with 2+ years of experience in building and optimizing ETL pipelines, data processing, and workflow orchestration. Proficient in Python, SQL, Apache Spark, and Apache Airflow, with hands-on experience in developing scalable data engineering solutions. Strong problem-solving and analytical skills, with a continuous-learning mindset and the ability to adapt quickly to new technologies and business requirements.

Skills
SQL
PySpark
Airflow
ETL
ELT
CI/CD
Python
Docker
FastAPI
C
Linux
Git
Databricks
AWS (S3
EC2
ECS
Glue
Athena
and EMR Serverless).
BitBucket
Jenkins
Agile/Scrum
Experience

Data Engineer

DataEconomy

Nov 2025 to Present
  • Developed Python/FastAPI services to dynamically generate and manage Apache Airflow DAGs, enabling pipeline orchestration, scheduling, execution, and self-service job lifecycle management.
  • Built centralized Airflow job monitoring and management capabilities, including manual and scheduled runs, start/stop/pause/resume controls, log access, and custom scheduling calendars.
  • Implemented automated notification services integrating Jira, Microsoft Teams, and email for job start, warning, success, failure, and retry events.
  • Developed and optimized ETL pipelines using PySpark and Polars, improving data processing performance and resource efficiency.
  • Built automated source-to-target reconciliation pipelines to identify matched, mismatched, missing, and duplicate records, strengthening data quality validation.

Trainee Engineer

DataEconomy

Oct 2024 to Oct 2025
  • Developed production-grade Python/FastAPI REST APIs using SQLAlchemy and Pydantic for automated schema discovery, metadata extraction, validation, and data cataloging across enterprise data sources.
  • Built XCrawler, a scalable metadata extraction and cataloging service to automate dataset discovery and centralize metadata management across heterogeneous data systems.
  • Implemented reusable, plug-and-play data-source onboarding components, enabling seamless integration of new data platforms with minimal configuration.
  • Improved metadata quality and consistency through standardized API development, robust data validation, and maintainable architecture.
  • Collaborated with engineering teams to troubleshoot issues, optimize services, and reduce manual effort in metadata discovery and data-source onboarding.
Education

B. Tech

R.V.R. & J.C. College of Engineering · 8.11/10

Aug 2020 to Aug 2024

Intermediate (MPC)

HIE Junior College · 980/1000

Jun 2018 to Apr 2020

10th

Geetha Gurukulam High School · 10/10

Jun 2017 to Apr 2018
Saleembasha Yamagiri · DevFest Hyderabad 2026