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Data Engineering

Tech Stack I use daily as a Data Engineer

by 햣둘 2025. 7. 3.

Overview : 

Category  Tools  Purpose
Databases & Infrastructure Postico, PostgreSQL, ClickHouse, Snowflake, Elasticsearch, Apache Airflow, Kafka Data storage, analytics, search, pipeline orchestration
Languages & Dev Tools Python, VS Code, Docker, Hex Programming, coding, environment setup, collaborative data analysis
Collaboration & Communication Slack, Notion, Asana, Zoom, GitHub Team communication, documentation, project management, video calls, code collaboration
Network & Security AWS VPN Secure connection to cloud infrastructure

🛢️ 1. Databases & Infrastructure

Tool Type What it is / Use
PostgreSQL(on RDS) Relational DB Main database for structured data
Postico DB client GUI client for PostgreSQL databases (Mac only)
ClickHouse Columnar OLAP DB High-speed analytics, log/event processing
Snowflake Data warehouse Scalable cloud-based SQL data lake/warehouse 
Elasticsearch NoSQL + Search engine Fast full-text search, log queries
Apache Airflow Workflow scheduler DAG-based scheduling of data pipelines
Kafka Event streaming platform Real-time message queue, data transport layer

🛠️ 2. Languages & Dev Tools

Tool Type What it is / Use
Python Programming language Scripting, data processing, automation
VS Code Code editor Lightweight IDE for coding and debugging
Docker Container platform Isolated dev/test environments, portability
Hex Data notebook Collaborative SQL+Python notebooks (for analysis + reporting)
 

🧑‍💼 3. Collaboration & Communication

Tool Type What it is / Use
Slack Team chat Real-time messaging, alerts, integrations
Notion Docs & Project notes Notes, internal documentation, team knowledge
Asana Task manager Project and task tracking
Zoom Video conference Meetings, stand-ups, remote calls
GitHub Code hosting Source code version control, code collaboration (Git)
 

🔐 4. Network & Security

Tool Type What it is / Use
AWS VPN Secure network tunnel Private access to AWS resources from internal systems