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End-to-end Tableau Cloud dashboard built for a US cybersecurity company to monitor automated scanner findings across penetration testing operations. Connected to BigQuery as the primary data source, combining multiple production tables through custom joins and calculated fields to deliver a unified view of findings volume, severity distribution, rejection reasons, and task tracking.
The solution includes multiple views — an executive summary with high-level KPIs, detailed breakdown screens by severity, scanner tool, and scan level, and time-series analysis of findings trends by week. Designed to support both operational monitoring and strategic decision-making across security and product teams.
Stack: Tableau Cloud · BigQuery · SQL · Calculated Fields · Multi-table join
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Hi everyone! 👋
I’m a Backend & Data Engineer focused on building reliable backend systems, data pipelines, automation workflows, and reusable engineering components designed to solve real-world data problems.
Over the past few months, I’ve been developing several personal engineering projects around data quality, backend architecture, and workflow automation. Many of them started as small utilities for solving a specific problem and gradually evolved into reusable components as new requirements appeared.
I’m joining Contra not only to share my work but also to connect with other engineers, exchange ideas, and learn from the community. Over the coming weeks, I’ll be sharing some of these projects, the engineering decisions behind them, and the lessons I learned while building them.
If you’re a backend or data engineer and this post found you, I’d really appreciate it if you said hello in the comments. I’m just beginning my journey on Contra and would love to get to know the engineering community here. Looking forward to connecting, exchanging ideas, and learning from one another.
Thanks for reading!
Hello!
I'm not a backend engineer, but I know a thing or two and backend engineers are not common on Contra
Tester Performance Profile Dashboard — Cybersecurity Operations
Individual-level performance dashboard built in Tableau Cloud for a US cybersecurity company, designed to drill down into tester profiles identified as outliers (top and low performers) through upstream statistical models. The dashboard is accessed via navigation from a higher-level overview that detects anomalies, enabling a seamless workflow from population-level insight to individual analysis.
Connected to BigQuery across multiple tables, combining test activity, findings, contracted hours, ratings, and qualitative feedback (positive/negative tags) through calculated fields and dynamic parameters — including a username parameter that filters the entire view to a specific tester on demand.
Provides a comprehensive view of individual performance: total tests, contracted vs. active hours, findings by criticality, methodology breakdown, carry-over findings, peer ratings, and trend lines across time. Supports both operational review and talent management decisions within the security team.
Stack: Tableau Cloud · BigQuery · SQL · Calculated Fields · Dynamic Parameters · Multi-screen navigation
