Tag
Data Engineering
9 posts
Data pipelines, warehouses, streaming and modern data architectures.
Real-Time Payment Reconciliation: The Complete Guide
A complete technical guide to real-time payment reconciliation: reference architecture, matching strategies, canonical transaction model, multi-rail considerations, and build-vs-buy analysis for finance and engineering leaders.
Real-Time Data Pipelines 2026: Kafka vs Flink vs Spark
Production guide to streaming stacks: Kafka vs Pulsar vs Kinesis, Flink vs Spark, p99 latency benchmarks, and $/TB cost comparisons.
Real-Time Payment Reconciliation: Architecture and Lessons
Real-time payment reconciliation architecture. Event-driven matching, exception handling, audit trails, and accounting integration from production experience.
Apache Kafka for the Mid-Market: Practical Implementation
Practical guide to implementing Apache Kafka for mid-sized companies. Sizing for 10K-1M events/day, topic design, consumer groups, and operational runbooks.
Data Quality: How to Improve It Without Stopping Operations
How to improve data quality without stopping operations. Profiling, validation rules, automated cleansing pipelines, quality dashboards, and data stewards.
Fintech Compliance: Building Regulatory Reporting Infrastructure
Regulatory reporting infrastructure for fintech. Data aggregation, real-time reconciliation, audit trails, and automated submissions. MiCA, DAC8, PSD2.
Real-Time Shipment Tracking: Architecture and Implementation
Complete real-time shipment tracking architecture. Event sourcing, GPS ingestion, geofencing, notifications, and dashboards. Throughput benchmarks.
NLP for Document Classification: Practical Implementation
Practical guide to document classification with NLP. Pre-trained models, fine-tuning, labeling workflows and deployment. Legal and logistics use cases.
ETL vs ELT: Why the Difference Matters in 2025
Practical comparison of ETL and ELT in 2025. Cloud data warehouse impact, real costs, migration paths and when to choose each pattern.