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Ksenia

PROFILE

Ksenia

Ksenia Berezina developed and maintained data engineering pipelines for the mozilla/docker-etl and mozilla/telemetry-airflow repositories, focusing on ETL automation, bug data integration, and reporting reliability. She enhanced ETL jobs to ingest and unify Enhanced Tracking Protection bug data, automated schema updates, and improved data aggregation by switching to more accurate BigQuery views. Using Python, Airflow, and BigQuery, Ksenia refactored DAGs for maintainability, standardized CLI interfaces, and implemented robust error handling for schema and dependency issues. Her work addressed data drift, improved analytics coverage, and ensured traceable, reliable data flows, demonstrating depth in backend development and data processing automation.

Overall Statistics

Feature vs Bugs

45%Features

Repository Contributions

13Total
Bugs
6
Commits
13
Features
5
Lines of code
646
Activity Months7

Work History

February 2026

1 Commits

Feb 1, 2026

February 2026 monthly summary for mozilla/docker-etl focusing on data quality improvements for WebCompat KB reports in the ETL pipeline. Key change implemented: switch data source for the webcompat_kb job from a table to a view to ensure accurate aggregation of user reports. This enhancement increases data reliability for dashboards and decision-making, reducing reporting discrepancies. The change is tracked under commit b615200491d41cd148da6b7d5b2434269e899190 with the message "Fix a reference to user_reports_dedupe view in webcompat_kb job (#480)".

January 2026

2 Commits • 1 Features

Jan 1, 2026

Month: 2026-01. Focused on extending the ETL pipeline to improve data coverage for web compatibility metrics in the mozilla/docker-etl repository. Delivered two key data-writing enhancements and ensured traceability through commit references, enabling richer analytics and reporting for web compatibility features.

November 2025

3 Commits • 1 Features

Nov 1, 2025

Month 2025-11: mozilla/docker-etl delivered measurable business value by strengthening bug data integrity and pipeline reliability, extending Bugzilla integration, and ensuring resilient schema handling in BigQuery.

October 2025

3 Commits • 1 Features

Oct 1, 2025

October 2025 monthly summary for mozilla/docker-etl: Delivered automated ETL schema updates with UpdateSchemaJob default to update_schema, fixed critical naming inconsistency in metric scoring to align with updated schemas, and corrected the bugbug HTTP server URL for the broken_site_report_ml job. These changes improve data quality, reliability, and time-to-insight for data pipelines and ML-driven site health reporting.

September 2025

1 Commits

Sep 1, 2025

September 2025 monthly summary for mozilla/docker-etl. Focused on stabilizing the Webcompat pipeline by implementing an interim fix to the interop import in the webcompat job. This quick action preserved data processing continuity while a permanent solution is planned and evaluated.

November 2024

2 Commits • 1 Features

Nov 1, 2024

November 2024 — Telemetry-Airflow: WebCompatKB DAG Improvements delivered a more robust and maintainable data pipeline in the mozilla/telemetry-airflow repository. Key changes refactor the DAG to execute the main entry as a Python module for better structure and dependency management, and standardize CLI argument names by switching from underscore-separated to dash-separated flags for webcompat_kb.main. These changes reduce maintenance effort, improve testability, and align with Airflow/CLI conventions, setting the stage for future enhancements.

October 2024

1 Commits • 1 Features

Oct 1, 2024

October 2024 monthly summary for mozilla/docker-etl. Delivered ETL enhancements to ingest Enhanced Tracking Protection (ETP) bugs and their meta bug dependencies into webcompat_kb ETL, including sample data, new relation configuration, and mapping logic to unify ETP bugs with their meta bugs. Resulted in improved accuracy of bug triage and reporting and laid groundwork for more robust ETP analytics.

Activity

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Quality Metrics

Correctness91.6%
Maintainability92.2%
Architecture91.6%
Performance89.2%
AI Usage21.6%

Skills & Technologies

Programming Languages

PythonTOML

Technical Skills

API integrationAirflowAutomationBigQueryBugzilla APIDAG DevelopmentData EngineeringDebuggingETLETL processesPythonPython DevelopmentPython scriptingbackend developmentdata engineering

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

mozilla/docker-etl

Oct 2024 Feb 2026
6 Months active

Languages Used

PythonTOML

Technical Skills

Bugzilla APIData EngineeringETLPythonDebuggingPython Development

mozilla/telemetry-airflow

Nov 2024 Nov 2024
1 Month active

Languages Used

Python

Technical Skills

AirflowDAG DevelopmentPython scripting