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idabaguspurwa/README.md

Hey there, I'm Bagus!

Typing SVG

class DataEngineer:
    def __init__(self):
        self.name = "Ida Bagus Gede Purwa Manik Adiputra"
        self.role = "Data Engineer & Analytics Wizard ๐Ÿง™โ€โ™‚๏ธ"
        self.location = "Tangerang, Indonesia ๐Ÿ‡ฎ๐Ÿ‡ฉ"
        self.current_status = "Final Year CS Student @ Bina Nusantara"

    def get_daily_workflow(self):
        return [
            "โ˜• Coffee first, code second",
            "๐Ÿ”ง Design data pipelines that don't break",
            "โ˜๏ธ Deploy to cloud (preferably without downtime)",
            "๐Ÿ“Š Transform messy data into beautiful insights",
            "๐Ÿš€ Automate everything (because why do it twice?)",
            "๐ŸŒ… Watch data flow like a beautiful sunrise"
        ]

    def current_focus(self):
        return {
            "learning": ["Advanced Kubernetes", "ML Engineering", "Data Mesh"],
            "building": ["Champions League Analytics Platform", "Real-time Football Data Pipeline"],
            "improving": ["20% operational efficiency @ BCA Bank"],
            "dreaming": ["Becoming the next data engineering rockstar ๐ŸŽธ"]
        }

bagus = DataEngineer()
print(f"Currently {bagus.current_status} and loving every pipeline! ๐Ÿš€")

LinkedIn Portfolio Email

Profile Views

๐Ÿš€ The Data Journey

graph LR
    A[๐Ÿ“ฅ Raw Data] --> B[๐Ÿ”„ Apache Kafka]
    B --> C[โšก Apache Spark]
    C --> D[โ˜๏ธ Cloud Storage]
    D --> E[๐Ÿ  Data Warehouse]
    E --> F[๐Ÿ“Š BI Dashboards]
    F --> G[๐Ÿ’ก Business Insights]

    style A fill:#ff6b6b
    style G fill:#4ecdc4
    style C fill:#45b7d1
    style E fill:#96ceb4
Loading

"Data is the new oil, but I'm the one building the refineries!" โšก

๐ŸŽ“ Academic Journey

๐Ÿ“š Bachelor of Computer Science @ Bina Nusantara University
๐ŸŽฏ GPA: 3.62/4.00  |  ๐ŸŽ“ Graduating: October 2025
๐Ÿ“– Thesis Focus: Scalable Data Engineering Architectures

๐Ÿ’ผ Where the Magic Happens

๐Ÿฆ Business Analyst Intern @ PT Bank Central Asia

๐Ÿ“… February 2024 - February 2025

mission_accomplished:
  stakeholder_interviews: "โœ… Decoded business requirements like a data detective ๐Ÿ•ต๏ธ"
  operational_insights: "โœ… Transformed data chaos into decision-making gold ๐Ÿ’ฐ"
  cross_functional_collaboration: "โœ… Bridge builder between IT wizards and business ninjas ๐ŸŒ‰"
  efficiency_boost: "โœ… Delivered 20% operational efficiency improvement ๐Ÿ“ˆ"

secret_weapons:
  - "Advanced SQL sorcery ๐Ÿช„"
  - "Data visualization artistry ๐ŸŽจ"
  - "Process optimization ninja skills ๐Ÿฅท"
  - "Stakeholder whispering abilities ๐Ÿ’ฌ"

๐ŸŽฎ Tech Stack & Skill Tree

๐Ÿ›ก๏ธ Choose Your Weapon

Level: Junior Data Engineer ๐Ÿ†

โ˜๏ธ Cloud Kingdoms (Click to expand)

AWS Azure Google Cloud Spark

๐Ÿ—๏ธ Data Engineering Arsenal (Click to expand)

Kubernetes Apache Airflow dbt Redshift BigQuery Snowflake

๐Ÿ’พ Database Dynasty (Click to expand)

SQL Server MySQL PostgreSQL

๐Ÿ Programming Power-Ups (Click to expand)

Python SQL PySpark Pandas

๐Ÿ“Š Visualization Wizardry (Click to expand)

Power BI Tableau Looker Studio

๐Ÿš€ DevOps & Deployment (Click to expand)

Git GitHub Actions Docker Terraform Apache Kafka

๐Ÿ† Achievement Unlocked: Full-Stack Data Engineer

"Jack of all trades, master of data!" โšก


๐Ÿš€ Epic Project Showcase

"Building the future, one pipeline at a time" โšก


โšฝ Champions League Data Platform ๐Ÿ†

๐Ÿ—๏ธ Enterprise-Grade AWS EKS Data Platform

AWS Kubernetes Docker Airflow Spark Terraform

const championsPlatform = {
  mission: "Transform football chaos into championship insights โšฝ",
  architecture: "Production-grade data lakehouse on AWS EKS",

  achievements: {
    infrastructure: "๐Ÿ—๏ธ Terraform-powered secure VPC + EKS + S3 + Redshift",
    cicd: "๐Ÿšข 4 microservices auto-deployed via GitHub Actions",
    orchestration: "โš™๏ธ Airflow + KubernetesPodOperator magic",
    dataFlow: "โœจ Bronze โ†’ Silver โ†’ Gold transformation pipeline",
    insights: "๐Ÿ“ˆ Real-time Tableau dashboards for team analytics"
  },

  coolnessFactor: "๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ (Maximum level achieved!)"
};

๐Ÿ›’ E-Commerce Data Platform ๐Ÿ“Š

โ˜๏ธ Google Cloud-Powered Analytics Engine

GCP BigQuery dbt Airflow

project_status: "โœ… Mission Accomplished"
highlights:
  - name: "Scalable ETL Platform"
    tech: "GCP + Terraform Infrastructure as Code"
    impact: "๐ŸŽฏ Zero-downtime deployments"

  - name: "Modern Data Modeling"
    tech: "dbt + BigQuery + Data Quality Tests"
    impact: "๐Ÿ“ˆ Automated data validation & transformation"

  - name: "Business Intelligence"
    tech: "Looker Studio Interactive Dashboards"
    impact: "๐Ÿ’ฐ Real-time profitability insights"

secret_sauce: "Fully automated + Reproducible + Scalable ๐Ÿš€"

โšก Real-Time Football Pipeline ๐ŸŸ๏ธ

๐Ÿ”ฅ Streaming Data Engineering at Scale

Kafka Spark GCP BigQuery

class RealTimeFootballPipeline:
    def __init__(self):
        self.streaming_power = "โšก Live API โ†’ Kafka โ†’ Spark โ†’ BigQuery"
        self.automation_level = "๐Ÿค– Fully automated via Cloud Composer"
        self.deployment = "๐Ÿš€ Terraform-managed infrastructure"

    def get_impact(self):
        return {
            "data_freshness": "๐Ÿ“Š Real-time metrics & team performance",
            "reliability": "๐Ÿ›ก๏ธ Resilient automated workflows",
            "scalability": "๐Ÿ“ˆ Cloud-native horizontal scaling"
        }

# Pipeline running 24/7 like a champion! ๐Ÿ†
pipeline = RealTimeFootballPipeline()

๐ŸŽฏ Want to explore more?

Check out my repositories below for the full technical deep-dive! ๐Ÿ‘‡


๐Ÿ… Achievement Badges & Certifications

๐ŸŽฏ Professional Certifications Unlocked


๐ŸŒŠ Airflow Mastery
Udemy Certified
โœ… COMPLETED

โ„๏ธ Data Engineer
DataCamp Certified
โœ… COMPLETED

๐Ÿ”ง Databricks & Spark
Udemy Certified
โœ… COMPLETED

๐Ÿ™ Foundations
GitHub Certified
โœ… COMPLETED

๐ŸŒ Global Communication

languages:
  english:
    level: "๐Ÿ‡ฌ๐Ÿ‡ง Proficient"
    skills: ["Technical Documentation", "Stakeholder Communication", "Code Reviews"]

  indonesia:
    level: "๐Ÿ‡ฎ๐Ÿ‡ฉ Native"
    skills: ["Cultural Bridge", "Local Market Understanding", "Team Leadership"]

communication_style: "๐ŸŽฏ Direct, Clear, Results-Oriented"

๐Ÿ“Š GitHub Analytics Dashboard

๐Ÿ”ฅ Current Stats & Achievements

GitHub Stats GitHub Streak
Top Languages

๐Ÿ† GitHub Trophies

GitHub Trophies

๐Ÿค Let's Build Something Amazing Together!

๐Ÿ’ญ Always up for...

{
  "collaboration": "๐Ÿš€ Data engineering projects that change the world",
  "discussions": "๐Ÿ’ก Latest trends in big data, ML, and cloud architecture",
  "opportunities": "๐ŸŒŸ Exciting roles in data engineering & analytics",
  "coffee_chats": "โ˜• Virtual meetups to share knowledge & insights",
  "mentoring": "๐ŸŽ“ Helping aspiring data engineers level up"
}

๐Ÿ“ฌ Reach Out Through Your Favorite Channel


๐Ÿ“ง Email Me
Let's discuss ideas!

๐Ÿ”— Connect
Professional networking

๐ŸŒ Portfolio
Deep dive into projects

๐Ÿ“ Tangerang
Indonesia ๐Ÿ‡ฎ๐Ÿ‡ฉ

๐ŸŽฏ Current Status

def current_mission():
    return {
        "๐ŸŽ“": "Finishing CS degree @ Bina Nusantara (Oct 2025)",
        "๐Ÿ’ผ": "Crushing it @ BCA Bank as Business Analyst Intern",
        "๐Ÿš€": "Building next-gen data platforms",
        "๐Ÿ“š": "Learning ML Engineering & Data Mesh architecture",
        "๐ŸŽธ": "Dreaming of becoming a data engineering rockstar"
    }

# Always ready for the next challenge! ๐Ÿ’ช
status = current_mission()
Profile Views

๐Ÿ’ซ "Turning data into insights, one pipeline at a time!"


โญ If you like my work, consider giving my repos a star! โญ

Pinned Loading

  1. Enterprise-Grade-Sales-and-Marketing-Data-Platform Enterprise-Grade-Sales-and-Marketing-Data-Platform Public

    HCL

  2. stock_market_data_pipeline stock_market_data_pipeline Public

    Python

  3. Football_Fixtures_Match_Tracker Football_Fixtures_Match_Tracker Public

    Python

  4. champions-league-data-pipeline champions-league-data-pipeline Public

    An end to end data engineering pipeline for Champions League match data, deployed on AWS with MWAA, EKS, and Docker

    Python

  5. github-events-pipeline github-events-pipeline Public

    A comprehensive, production ready data pipeline that captures, processes, and analyzes GitHub events in real-time using Apache Airflow, Kafka, dbt, Snowflake, and Kubernetes with complete monitorinโ€ฆ

    Python

  6. interactive-portfolio interactive-portfolio Public

    Modern AI Powered Portfolio with data exploration using dual AI (Gemini + DeepSeek), live GitHub analytics, interactive 3D graphics, enterprise ETL pipelines, Next.js 14, Python FastAPI, and compreโ€ฆ

    JavaScript 1