epam/ai-dial-analytics-realtime
Mar 2025 – May 2025
3 Months active
Languages Used
MarkdownFluxPython
Technical Skills
Data VisualizationDatabase ManagementDocumentationData EngineeringFluxGrafana
davidpepm
PROFILE
Davidpepm
David Piskolti developed and documented a suite of Grafana dashboards for the epam/ai-dial-analytics-realtime repository, focusing on real-time analytics and application insights. He designed end-to-end data visualization solutions by integrating InfluxDB for time-series storage and Flux for data aggregation, enabling stakeholders to monitor usage patterns and cost breakdowns. David authored comprehensive architecture documentation, clarifying InfluxDB bucket provisioning and Flux task workflows to streamline onboarding and future maintenance. His work emphasized reproducibility and scalability, providing clear templates for historical data loading. Throughout the three-month period, he demonstrated depth in Python, data engineering, and dashboarding, delivering maintainable, business-focused analytics features.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
8,428
Activity Months3
Your Network
160 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary focusing on key business value and technical achievements in epam/ai-dial-analytics-realtime. Key feature delivered: Application Insights Dashboard (Custom Dashboards) enabling application-specific insights with usage patterns and cost breakdowns. README updated to reflect the new dashboard. No major bugs fixed this month; effort concentrated on feature delivery and documentation to improve observability and decision-making.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary focusing on key business value and technical achievements in epam/ai-dial-analytics-realtime. Key feature delivered: Application Insights Dashboard (Custom Dashboards) enabling application-specific insights with usage patterns and cost breakdowns. README updated to reflect the new dashboard. No major bugs fixed this month; effort concentrated on feature delivery and documentation to improve observability and decision-making.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Key features delivered: Architecture Documentation for Grafana Dashboards in AI DIAL Realtime Analytics. The documentation covers InfluxDB buckets, Flux task-based aggregation, and a historical data loading template, providing a clear blueprint to improve performance and scalability. Major bugs fixed: None reported this month. Overall impact and accomplishments: Establishes a concrete architectural blueprint that accelerates dashboard development, improves data governance, and supports scalable real-time analytics; reduces onboarding time for new dashboards and enables safer refactors. Notable achievements include traceable work linked to the commit 480c1aab397d7cccf33f4f80ddcdf9c54ed8db07 (#124). Technologies/skills demonstrated: Grafana architecture, InfluxDB buckets, Flux tasks, historical data loading templates, and documentation best practices.
April 2025
1 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Key features delivered: Architecture Documentation for Grafana Dashboards in AI DIAL Realtime Analytics. The documentation covers InfluxDB buckets, Flux task-based aggregation, and a historical data loading template, providing a clear blueprint to improve performance and scalability. Major bugs fixed: None reported this month. Overall impact and accomplishments: Establishes a concrete architectural blueprint that accelerates dashboard development, improves data governance, and supports scalable real-time analytics; reduces onboarding time for new dashboards and enables safer refactors. Notable achievements include traceable work linked to the commit 480c1aab397d7cccf33f4f80ddcdf9c54ed8db07 (#124). Technologies/skills demonstrated: Grafana architecture, InfluxDB buckets, Flux tasks, historical data loading templates, and documentation best practices.
March 2025
1 Commits • 1 Features
Mar 1, 2025In March 2025, delivered three Grafana dashboards for the AI DIAL Realtime Analytics platform, along with setup guidance for InfluxDB bucket provisioning and Flux tasks, enabling end-to-end analytics with minimal onboarding. No major bugs fixed this month. This work enhances data visualization, accelerates data-driven decision making, and strengthens monitoring capabilities.
1 Commits • 1 Features
Mar 1, 2025In March 2025, delivered three Grafana dashboards for the AI DIAL Realtime Analytics platform, along with setup guidance for InfluxDB bucket provisioning and Flux tasks, enabling end-to-end analytics with minimal onboarding. No major bugs fixed this month. This work enhances data visualization, accelerates data-driven decision making, and strengthens monitoring capabilities.
March 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
FluxMarkdownPython
Technical Skills
DashboardingData EngineeringData VisualizationDatabase ManagementDocumentationFluxGrafanaInfluxDBPython
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline