Make recurring reporting easier to run
When reports depend on repeated copying and cleaning, the first job is to understand the sources and the rules behind the numbers. We map the data flow before choosing the pipeline or dashboard.
A project might connect sales data to an operations dashboard, prepare survey data for analysis, or refresh procurement reports on a schedule.
What the work can include
Authorized data collection and API integration.
Cleaning, validation, and transformations in Python or SQL.
Scheduled pipelines, retries, and monitoring.
Dashboards in Looker Studio, Tableau, Power BI, or a custom application.
Definitions for metrics, refresh schedules, and handover documentation.
Relevant team experience
Zaki works with data processing, Python automation, and business intelligence. Ayub has experience in data collection and workflow automation. Febri connects data workflows to operational applications.
Start with your sources and questions
Tell us where the data comes from, who uses the report, how often it changes, and which decisions it should support. We agree on access, validation rules, and operating costs before implementation.