Optimize Your Advertising: Event-Driven Pipelines on GCP & AWS

Optimize Your Advertising: Event-Driven Pipelines on GCP & AWSOptimize Your Advertising: Event-Driven Pipelines on GCP & AWS

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Ahmad Humayun

• May 30

Built three production event-driven pipelines on GCP to sync DV360 advertising data to AWS SQS. Metadata: 8 entity types delivered in dependency order across 6 tiers using Cloud Tasks chaining and parallel Cloud Run Jobs. Reports: auto-detected new DV360 report tables from BigQuery audit logs and normalized fields to a common schema. ADH match-rate: 6-state async workflow for UPDM + match-rate queries with privacy cooldown handling. All pipelines used outbox delivery with receipt-based reconciliation.

Data Analysis Google BigQuery Google Cloud Functions Python Data Engineering

En Zuo

pro

• May 28

😊 GIS Mapping and Environmental Site Plan Development for Approval Documentation I developed a professional GIS mapping package for an environmental approval project, including site boundary mapping, receptor buffer analysis, infrastructure marking, coordinate tables, A3 layout design, scale bars, legends, north arrows, and regional location insets. The final outputs were prepared as clear, approval-ready maps using high-resolution aerial imagery and GDA2020 / MGA Zone 50 coordinate reference standards.:

QGIS Python mapping Data Visualization

Nazar Kaneruk

• May 29

His work so cool!

Cansaas Agency

pro

• May 28

In this concept, we focused on simplifying project and task management through a cleaner dashboard experience. Caliber combines kanban organization, list views, progress tracking, team collaboration, and quick task actions into one structured workspace. With minimal layouts, soft visual hierarchy, and intuitive interactions, managing complex workflows feels faster, lighter, and easier to navigate for modern SaaS teams.

📩 Collaborate with Us? Contra Cansaas Agency

uiuxdesign dashboarddesign taskmanagement

Rajesh Godhaniya

• May 28

This design gives a polished product feel right away 🚀

En Zuo

pro

• May 28

GIS-Based Terrain Analysis and DEM Visualization in Sinai This project is a GIS-based terrain analysis created for the Sinai region using digital elevation model data. The work focuses on extracting and visualizing key topographic characteristics, including aspect direction, hillshade relief, slope variation, and contour elevation patterns.

The project includes four separate thematic maps: aspect analysis, hillshade visualization, slope classification, and contour mapping. Each map was designed with coordinate system information, scale bar, north arrow, legend, and terrain background to support professional cartographic presentation. The outputs help identify terrain direction, elevation behavior, surface steepness, landform structure, and topographic variation across the study area.

My work involved processing DEM data, generating raster-based terrain layers, creating slope and aspect classifications, producing hillshade relief, extracting contour information, styling each map layer, and preparing clean map layouts for presentation. This project demonstrates my ability to handle geospatial raster analysis, terrain modeling, and professional GIS map production.

Skills & Tools: ArcGIS Pro, QGIS, GIS Mapping, DEM Analysis, Terrain Analysis, Raster Processing, Hillshade Mapping, Slope Analysis, Aspect Analysis, Contour Mapping, Cartography, Coordinate Systems, Spatial Analysis, Map Layout Design, Geospatial Data Visualization.