United Arab Emirates

Project Management

Data engineering

Bachelor of Science - BS

Karl Christian

Senior Data Engineer

Collaboration

Problem-solving

Critical-thinking

Team player

Project management

Analytical skills

Business intelligence

Cloud computing

Database management

Python

Airflow

Apache Spark

Docker

GitHub

Google Data Studio

REST API

hit me up here https://adplist.org/mentors/karl-christian

- Work with engineering and business stakeholders to understand data requirements
- Build and refine data flow and ETL processes
- Performing data cleansing and enhancing data quality
- Produce and maintain strong documentation
- Take action with quality, performance, scalability, and maintainability in mind
- Build and maintain DWH infrastructure at Careem

Part of Ruangguru x Kampus Merdeka

Teaching about:
- Data Analytics
- Product Analytics
- Analytics framework
- Defining OKR & KPI

Technical skills: SQL, Python, Tableau.

the day to day responsibilities are:
- building and maintaining data warehouse frameworks, I leverage dbt and google bigquery for this
- building and maintaining data system, primarily I’m creating the REST API and GraphQL, so it’s an endpoint to be hit by product back end. Mostly the programming language used here are python, typescript, and shell script.
- also maintaining and refactoring the infrastructure in GCP, using terraform and a bit kubernetes.

as the infrastructure, we handled more than 1k dbt models, almost 10 pipelines in daily, weekly, or monthly, and also currently we have about 9 API services.
            

    
    

    
        عرض أقل

- Build Data Warehouse and analytics data marts
- Building Data Pipeline, including batch for transactional and summary data using Cloud Composer
- Batch Data ingestion (Scraping/Crawling), e.g API, Web, Sheets, etc
- CI/CD with Cloudbuild, integrating with Github
- Containerization with docker and orchestration with kubernetes
- Deploying ML model with Cloud Composer

Stacks: 
GCP (Google Cloud Platform), Python, SQL and NoSQL, Docker, Kubernetes, GitHub, Composer, databricks, dbt, Terraform
            

    
    

    
        عرض أقل

- Automating reports using BI tools and enabling self service analytics to any stakeholders
- Building pipeline from start raw data into aggregation summary data for reporting/analysis/monitoring purpose
- Working with DE, creating and modelling enterprise data warehouse for corporate level metrics (unification of all products)
- Managing projects to ensure timeline and resources is suitable to fulfill Data and company OKR

Stacks: 
BQ, Tableau, Airflow/composer, dbt, GDS, Domo, Git, AWS, Jira, Confluence, Jupyter, Colab, Amplitude, Spark (Databricks)
            

    
    

    
        عرض أقل

Stakeholders: Data & Business team

Stacks: BQ, Tableau, Airflow, Jupyter, Jira

Description:
- Collect, manipulate, and analyze data using statistical techniques.
- Disseminate information regarding tools, reports, or metadata enhancements.
- Improve current processes or find efficiencies by applying industry best practices as a BI Analyst
- Monitoring enterprise performance through the creation of Key Performance Indicator Dashboards.

Focus on Risk Management

- Building and analyzing rules validation effectivity of marketplace for improving the existing fraud detection system
- Preparing, monitoring & analyzing promo in marketplace environment
- some projects related improving risk management system
- Helping internal team for querying the database, and direct manage with instant courier fraud

Focus on Fraud Control/Risk Management

-as fraud control team, do monitor, control and prevent any fraudulent actions using china platform
-Develop ongoing and ad-hoc reports to track key performance metrics
-Assist data users, both internal and external, with accessing data sets, understanding and interpreting information and analysis
-Strong analytical and research skills with the ability to create actionable insights by aggregating and distilling large-scale data sets

- Learning what's database, its function and how to utilize that on large scale
- Implement changes management to company client, especially for HR expertise field
- We're using SAP SuccessFactors as a software

Karl Christian🇦🇪

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