Summary
Overview
Work History
Education
Skills
Timeline
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Dimitar Sirakov

Data Engineer
Plovdiv

Summary

Proven Data Engineer with a track record of optimizing data processes, enhancing data quality, and implementing modern big-data technologies. Skilled in ETL development and Python programming, adept at translating business needs into actionable insights. Demonstrated ability to lead projects, ensuring stakeholder satisfaction through effective communication and data-driven decision-making.

Overview

4
4
years of professional experience

Work History

Data Engineer

LINKIN
Plovdiv, 16
02.2024 - 09.2024
  • Data Processing Optimization: Implemented efficient ETL pipelines with technologies like Ray, Modin,Airflow, and AWS, streamlining database design for optimal performance.
  • ETL Collaboration: Maintained data integrity and pipeline stability, ensuring high-quality data through cleaning, validation, and transformation tasks.
  • System Migration: Migrated legacy systems to modern big-data technologies, enhancing performance and scalability with minimal disruption.
  • Cloud Infrastructure Management: Managed AWS infrastructure, ensuring optimal performance, security, and cost-efficiency.
  • Query and Database Optimization: Fine-tuned query performance and optimized database structures for fast and accurate data retrieval, using tools like Modin, Pandas.
  • Reporting and Documentation: Prepared analytic reports and documentation, delivering clear insights to stakeholders.
  • Project Leadership: Led high-impact projects from requirements gathering to deployment, including post-launch support, using Grafana, Loki, Mimir, and Xray.
  • Impact Monitoring: Monitored the results and impact of data-driven decisions, ensuring continuous improvement.
  • Achieved Goals:Increased processing efficiency by 400% by migrating data processing pipelines from PySpark to Ray and Modin, resulting in significant cost savings (around 70% reduction in processing bill, and huge scalability potential).
    Established a scalable and maintainable data architecture for future development through the implementation of efficient ETL pipelines with Ray, Modin, Airflow, and AWS.

Data Science

Profilink
Plovdiv, 16
01.2022 - 02.2024
  • Data Pipeline Development: Designed, built, and maintained data pipelines using PySpark, Pandas, Airflow, and SQL, ensuring data integrity and automation.
  • Report Generation: Developed reports with QuickSight, interpreted data using statistical tools, and presented clear insights.
  • Stakeholder Collaboration: Collaborated with stakeholders to understand needs, translated questions into analytical tasks, and provided data-driven recommendations.
  • Monitoring and Evaluation: Monitored decision outcomes, developed KPIs, and conducted post-implementation analysis for continuous improvement.
  • Continuous Improvement: Stayed updated with trends, proposed new methodologies, and contributed to best practices, utilizing AWS, DynamoDB, and Redshift.
  • Achieved Goals:
    Developed approximately 30 highly impactful reports, delivering crucial insights that empowered stakeholders to make data-driven decisions, resulting in significant cost savings for th organization.
    Implemented comprehensive KPIs, enabling stakeholders to accurately identify and target areas for improvement, driving overall efficiency and performance enhancements.
    Facilitated a culture of data-driven decision-making, contributing to substantial financial savings and strategic advancements for the organization.

Master Data Specialist

Profilink
04.2020 - 01.2022
  • Master Data Management: Manage and maintain master data records in SAP, ensuring accuracy and consistency.
  • Data Quality Assurance: Conduct data audits, develop quality metrics, and collaborate with teams to resolve data issues.
  • SAP System Management: Support SAP module configuration, ensure data requirements are met, and provide training to end-users.
  • Process Improvement: Identify and implement process improvements, maintain documentation, and participate in cross-functional projects to enhance data management.

Education

Bachelor of Science - Finance

The University of Plovdiv "Paisii Hilendarski"
Plovdiv
04.2001 -

Associate of Science - Computer Science And Technology

Vocational High School Of. Engineering And Tech.
Smolyan, Bulgaria
04.2001 -

Skills

ETL development

Data Pipeline Design

Data Analysis

Data Visualization and Presentations

Python Programming

SQL analytics

Apache Airflow

Big data Frameworks (PySpark, Modin)

Ray

Grafana

Quicksight

Team Collaboration

Git

Apache Spark

AWS

Timeline

Data Engineer

LINKIN
02.2024 - 09.2024

Data Science

Profilink
01.2022 - 02.2024

Master Data Specialist

Profilink
04.2020 - 01.2022

Bachelor of Science - Finance

The University of Plovdiv "Paisii Hilendarski"
04.2001 -

Associate of Science - Computer Science And Technology

Vocational High School Of. Engineering And Tech.
04.2001 -
Dimitar SirakovData Engineer