Data EngineeringFeatured
Delta Lake vs. Apache Iceberg in 2025: A Practitioner's Decision Guide
After migrating seven lakehouses in the past year, here's the honest breakdown of when to choose each table format.
Kavya Iyer·20 Mar 2026·9 min read
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Practical guides from engineers who build at production scale. No AI-generated fluff, no vendor marketing.
7 RAG Pitfalls We See in Every Enterprise Production Deployment
From naive chunking to missing re-ranking — the mistakes that quietly kill accuracy in RAG systems.
Priya Nair·12 min
Engineering a FHIR R4 Data Pipeline Without Losing Your Mind
A step-by-step guide to ingesting, validating, and transforming FHIR resources at scale with Python and Spark.
Arjun Sharma·11 min
Sub-5ms Fraud Scoring with Kafka + Flink: Architecture Deep-dive
How we built a real-time fraud engine that scores 50,000 TPS with p99 < 5ms — without a single message queue bottleneck.
Rohan Mehta·14 min
Fine-tuning Llama 3 on Clinical Notes: What Actually Worked
Lessons from fine-tuning a 70B model on 2M de-identified Indian clinical notes — data prep, QLoRA, and evaluation.
Priya Nair·16 min
dbt at Scale: Patterns for 10,000+ Models Without Going Insane
Project structure, model groups, micro-projections, and CI/CD strategies for large dbt codebases in enterprise fintech.
Kavya Iyer·10 min