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Crowdbotics
5 months
Saas and Tech
North America
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Crowdbotics is a platform that connects clients with freelance software development teams, offering end-to-end development services through a managed marketplace model. With thousands of active projects and globally distributed teams, the company focuses on delivering scalable, high-quality apps while ensuring operational visibility for both internal teams and clients.
Automated multi-source data ingestion at scale Centralized, DBT-modeled warehouse in BigQuery Role-based dashboards for actionable insights
Scalable analytics with GitHub integration
Data Engineer
Data Analyst
Cloud Solutions
Architect Project Manager
Hourly Base Contract
Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding
Disconnected systems (Heroku, Stripe, HubSpot, Toggl, Sheets) lacked unified reporting
No single view into project health, team performance, or financial insights
Manual reporting didn’t scale with 5000+ active projects and 1000+ contributors
To support enterprise-scale operations, we must centralize fragmented data from platforms like Heroku, Stripe, HubSpot, Toggl, and Sheets into a unified model. Automating daily ingestion and transformation for 5000+ projects is critical for timely insights. Understanding stakeholder-specific dashboard needs—PMs, executives, and recruiters—ensures relevance. Finally, enabling continuous deployment and version control via GitHub will ensure scalability, maintainability, and agility as the data architecture evolves.
● How do we centralize and model multi-source data at enterprise scale?
● How can we automate daily ingestion and transformations for 5000+ projects?
● What dashboards do PMs, execs, and recruiters need most?
● Can this architecture support continuous deployment and versioning via GitHub?
Modular, Scalable Architecture for Unified Project Intelligence
To unify project, financial, and operational data at scale, we built a modular data model using DBT, fully integrated with GitHub for version control and continuous deployment. Scalable ETL pipelines were developed to automate ingestion from Stripe, Heroku, HubSpot, Toggl, and Google Sheets, ensuring consistent daily updates.
All data was centralized and modeled in BigQuery to create a reliable, queryable source of truth.
On top of this architecture, we delivered customized Looker dashboards tailored to key stakeholders—including executives, project managers, and talent ops—providing real-time insights into project health, team performance, and financial metrics, ultimately enabling faster, data-driven decision-making across the organization.
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reduction in operational costs through automated workflows
increase in team productivity via better project tracking
faster issue resolution from enhanced project health monitoring
growth in client retention, boosting competitive advantage.
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML
Reviewed on
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML.
Reviewed on
Address
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
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