Real-World Projects
Build the exact architectures top-tier companies test for in technical interviews.
Global Logistics Batch Pipeline
Process raw supply chain CSV and JSON dumps from S3 into clean, analytical tables using distributed processing.
Marketing API Ingestion Service
Build a fault-tolerant Python service that paginates through third-party ad network APIs, handles rate limits, and loads data into the warehouse.
Staff Data Engineer Playbook: System Design & Leadership
Master the soft skills and system design frameworks required for senior/staff roles. Write technical RFCs, defend architecture tradeoffs, handle stakeholder pushback, and lead incident postmortems.
Build an E-commerce Analytics Platform with dbt
Your dashboards are wrong and no one trusts them. Build the full analytics platform — star schema, incremental models, CI/CD — that fixes that forever.
Experimentation & A/B Testing Platform
Architect a reliable data foundation to compute A/B testing metrics, statistical significance, and product KPIs with zero discrepancies.
DataGuard Production Observability
Prevent "silent data bugs." Implement automated anomaly detection and data quality alerts to notify engineering before the CEO sees a broken dashboard.
Enterprise Data Governance & Contracts
Implement data contracts between software engineers and data engineers to prevent upstream schema changes from breaking downstream pipelines.
Multi-Environment CI/CD Platform
Automate the deployment of data infrastructure across Dev, Staging, and Production environments using code, eliminating manual configuration errors.
Petabyte-Scale Iceberg Lakehouse
Modernize a traditional data lake by implementing an ACID-compliant table format, allowing time-travel queries and schema evolution at massive scale.
Cloud Compute Cost Optimization Engine
Analyze warehouse query logs to identify inefficient queries and orphaned tables, ultimately reducing the monthly cloud compute bill by 30%.
Centralized Data Access Control (RBAC)
Design and deploy a scalable Role-Based Access Control system for a 100+ person data team, ensuring strict compliance and PII masking.
End-to-End Modern Data Stack Architecture
Build a complete modern data infrastructure from the ground up. Integrate multi-source event pipelines with dbt, orchestrate with Airflow, and scale processing using Spark on Kubernetes.
StreamCart Real-Time Analytics
Process clickstream events on the fly. Build a low-latency architecture to power live Black Friday sales dashboards.
Sub-Second Fraud Detection System
Identify anomalous transaction patterns across time windows using distributed state to flag fraudulent credit card swipes instantly.
StreamGuard Anomaly Detection
Deploy an end-to-end anomaly detection system. Build offline feature stores, serve low-latency data with Redis, and process streaming features using Spark and Kafka.
Uber-Style Event Routing Platform
Design the system architecture capable of handling millions of concurrent rider and driver location updates without dropping messages.
Enterprise LLM Data Ingestion Pipeline
Build the preprocessing infrastructure to ingest, chunk, clean, and embed millions of internal company documents for LLM training.
PredictFlow Real-Time Feature Store
Bridge the gap between data engineering and ML. Deploy a real-time feature store serving predictions at sub-10ms latency.
Enterprise RAG System
Architect a scalable Retrieval-Augmented Generation system allowing an LLM to accurately answer questions based on a massive internal knowledge base.
Automated LLM Evaluation Framework
Build an automated testing pipeline to evaluate LLM responses for accuracy, bias, and toxicity before deploying models to production.
Autonomous Agentic Data Pipeline
Design AI agents capable of orchestrating complex data workflows, writing their own SQL queries to fix pipeline failures autonomously.