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PROFILE

Kik-kik

Krzysztof Ignasiak developed and maintained analytics and data modeling features across the mozilla/looker-spoke-default and mozilla/lookml-generator repositories, focusing on business intelligence and data warehousing for Firefox and related products. He implemented LookML and SQL-based solutions to enable granular tracking of user engagement, retention, and partnership analytics, while also deprecating legacy data sources to streamline reporting. His work included building new explores, views, and measures for distribution deals, preloaded app metrics, and profile retention, as well as refactoring and aligning data models to evolving business needs. The technical depth and consistency improved data quality, governance, and analyst efficiency throughout.

Overall Statistics

Feature vs Bugs

81%Features

Repository Contributions

24Total
Bugs
3
Commits
24
Features
13
Lines of code
3,624
Activity Months8

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

October 2025: Delivered profile retention analytics enhancement in the mozilla/looker-spoke-default project. Added new measures to fenix_distribution_deals LookML view to track overall retention and new profile retention using existing and newly added dimensions, enabling better insights into user engagement and onboarding effectiveness. This work improves data-driven decision-making around onboarding optimization and retention strategies. No major bugs fixed this month; focus was on feature delivery and measurement improvements.

September 2025

3 Commits • 2 Features

Sep 1, 2025

In Sep 2025, delivered two key LookML features in mozilla/looker-spoke-default, expanding analytics coverage for distribution deals and preloaded app data. The work adds LookML views and explores for fenix_distribution_deals and fenix_preload_and_open, with new measures and hidden dimensions, included in the main model for enterprise accessibility. These changes enable data-driven decision making for device manufacturer partnerships and improve accuracy of aggregation reporting, reducing time-to-insight for analytics teams. This work demonstrates strong LookML craftsmanship, model integration, and collaboration, delivering measurable business value and technical capability.

July 2025

2 Commits • 1 Features

Jul 1, 2025

July 2025 monthly summary for mozilla/looker-spoke-default. Focused on delivering a simplified analytics surface and ensuring data accuracy after upstream changes. Key business value includes reduced maintenance overhead from deprecating outdated funnel resources and improved data sourcing reliability for activation metrics.

April 2025

2 Commits • 2 Features

Apr 1, 2025

April 2025 monthly summary focusing on cross-repo deprecation of Acoustic features across two repos: mozilla/looker-spoke-default and mozilla/lookml-generator. Implemented removal of dashboard resources, explores, and LookML definitions to retire the Acoustic feature, enabling simpler reporting and stronger data governance. This work reduces maintenance overhead, prevents legacy reporting paths, and improves data quality and governance for stakeholders.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025: Targeted enhancement in mozilla/looker-spoke-default to improve Active Users Aggregates partnership recommendations by adding 'dt' as a new suggestion and updating configuration accordingly. This low-risk, scoped change enhances data quality and personalization while maintaining stability. No major bugs reported for this repo in February.

January 2025

1 Commits • 1 Features

Jan 1, 2025

Monthly summary for 2025-01 focused on delivering business value through targeted data modeling enhancements in the mozilla/looker-spoke-default repository. Key feature delivery centered on expanding analyst capabilities by introducing a partnership dimension to the active_users_aggregates Looker view, enabling partnership-based filtering and segmentation (e.g., for partnership value such as 'vivo'). No major bugs recorded for this period.

December 2024

13 Commits • 4 Features

Dec 1, 2024

December 2024 performance summary: Delivered comprehensive Looker/Bigeye analytics improvements across mozilla/looker-spoke-default, mozilla/lookml-generator, and mozilla/looker-hub. Key outcomes include a labeled app_store_choice_screen_engagement analytics path with iOS pre-18.2 scope; refactored fenix feature usage to feature_usage_events with non-pre-aggregated design and corrected DAU grouping; introduced Bigeye usage analytics with a dedicated explore and enhanced cost/perf visibility; standardized Bigeye usage monitoring namespace, improved dimension definitions, and replaced task_duration_sum with task_duration_seconds. Cleaned up duplicates to prevent conflicts and reverted the firefox_ios metric to maintain data integrity. These changes increase data reliability, governance, and business insight for engagement, usage, and cost analytics while improving maintainability and developer efficiency.

November 2024

1 Commits • 1 Features

Nov 1, 2024

Concise monthly summary for mozilla/lookml-generator (November 2024). Focused on delivering analytics instrumentation and enabling data-driven decision-making for Firefox iOS app store flows.

Activity

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Quality Metrics

Correctness97.6%
Maintainability97.6%
Architecture97.6%
Performance95.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

LKMLLookMLSQLYAMLyaml

Technical Skills

Business IntelligenceConfiguration ManagementData EngineeringData ModelingData WarehousingDatabase ManagementETLLookMLLookerSQL

Repositories Contributed To

3 repos

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

mozilla/looker-spoke-default

Dec 2024 Oct 2025
7 Months active

Languages Used

LKMLLookMLSQL

Technical Skills

Business IntelligenceData EngineeringData ModelingData WarehousingDatabase ManagementETL

mozilla/lookml-generator

Nov 2024 Apr 2025
3 Months active

Languages Used

yamlYAML

Technical Skills

Configuration ManagementData ModelingLookML

mozilla/looker-hub

Dec 2024 Dec 2024
1 Month active

Languages Used

LookML

Technical Skills

Data ModelingETLLooker

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