System Design
Oct 24, 20248 min read
Optimizing Distributed Data Pipelines for ScaleA practical walkthrough of ingestion architecture, Kafka buffering, and the operational tradeoffs behind keeping real-time pipelines stable under bursty traffic.
>_Exploring Data & Systems
Deep dives into data engineering, scalable architectures, and the infrastructure that powers modern applications.
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Databases
Oct 18, 20248 min read
Indexing Strategies for PostgreSQL at Scale
Beyond simple B-Trees: when to use BRIN, GIN, and partial indexes to squeeze maximum performance out of large relational datasets.
Programming
def process_batch(data: pd.DataFrame) -> None:
# Optimize memory footprint
for col in data.select_dtypes(include=["float64"]).columns:
data[col] = pd.to_numeric(data[col], downcast="float")
return apply_transform(data)
Oct 12, 20245 min read
Pandas Memory Optimization Techniques
Stop hitting OutOfMemory errors. Practical tips for downcasting, chunking, and lazy evaluation in Python data workflows.
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