Description
Production Python for Data Engineers — FAANG-Scale is a course on writing robust, scalable, and production-ready Python for large-scale data systems published by Udemy Online Academy. This course goes beyond basic Python programming to focus on the engineering practices needed to build reliable data pipelines and services that can handle high volumes of data and demanding workloads. This course teaches you to write Python the way senior engineers at Stripe, Netflix, and Snowflake actually write — and submit 5 portfolio repositories that will land you a senior data engineer role. Advanced Python folks will explore clean architecture, testing, concurrency, performance optimization, error handling, observability, automation, data processing, and scalable pipeline design.
You will master Python’s memory model, build resilient ETL pipelines with retries and circuit breakers, get a million API calls with AsyncIO, reduce Pandas memory by up to 90% with dtype optimization, beat Pandas a hundredfold with PyArrow, deploy to AWS via Docker + GitHub Actions, and ship 5 final projects that will become GitHub repositories on your resume.
What you will learn in Production Python for Data Engineers — FAANG-Scale:
- Diagnose memory leaks and OOM crashes using tracemalloc, memory_profiler, and the Python object model
- Pick the right data structure (dict vs DataFrame, sets, deque, heapq, dataclass, NamedTuple, Pydantic) for 10x performance with zero optimisation
- Build retry, circuit breaker, and idempotency patterns that survive vendor API outages and 3 AM pager calls
- Process 100GB CSV/JSON/Parquet files on a laptop using chunked I/O, generators, and ijson
- Pull a million API calls per minute with AsyncIO — the event loop, await trap, aiohttp, backpressure
- Cut Pandas memory by 90% with dtype optimisation, then beat Pandas 100x with PyArrow zero-copy reads
- Ship every change through GitHub Actions CI/CD with matrix builds, secrets, AWS Lambda/ECS deploys, and blue-green rollouts
- Build 5 portfolio capstones (Stripe to Snowflake, Kafka, MySQL CDC, ML feature store) plus 50 solved FAANG interview questions
- and …
Course specifications
Publisher: Udemy
Instructors: Snowbrix Academy
Language: English
Level: Introductory to Advanced
Number of Lessons: 105
Duration: 7h 1m
Course topics
Production Python for Data Engineers — FAANG-Scale Prerequisites
Comfort with Python basics — variables, functions, classes, lists, and dictionaries
Familiarity with the command line and Git
A laptop with Python 3.11+, Docker Desktop, and a code editor (VS Code or PyCharm)
Pictures
Production Python for Data Engineers — FAANG-Scale introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
2.1 GB