Real-World Data Engineering Success Stories

Portfolio & Case Studies

Discover how I've helped organizations transform their data infrastructure, optimize performance, and unlock the true potential of their data assets.

50+
Projects Delivered
100B+
Data Processed
50+
Data Sources Integrated
$200k+
Cost Savings Generated

Featured Projects

Explore detailed case studies showcasing real challenges, innovative solutions, and measurable business impact.

Building a Scalable Data Warehouse & Orchestration System

Lucca
2024

Designed and implemented a data warehouse from scratch on Google Cloud Platform, integrating dbt, Airbyte, and Dagster for robust data orchestration and infrastructure-as-code.

Technologies:

GCPBigQueryPython+8 more
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Data Warehouse Migration & Automation at Contentsquare

Contentsquare
2024

Managed a critical data warehouse migration of over 300 tables, implemented high-performance ETLs, and automated sales KPI reporting for executive committees.

Technologies:

AWSLambdaRedshift+6 more
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E-commerce Benchmark Automation Platform

Contentsquare
2021

Designed and built a comprehensive benchmark automation platform from scratch, transforming a 2-week manual process into a 5-minute automated solution that was later integrated into the core product.

Technologies:

PythonFlaskSQL+5 more
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LinkedIn Data Extraction & Enhancement Pipeline

Contentsquare
2023

Built an automated data extraction and verification system to collect, validate, and categorize professional profiles from LinkedIn, delivering enhanced data to product teams for user database updates.

Technologies:

Node.jsPythonMachine Learning
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Optimizing Fraud Detection and ETL Pipelines for Insurer Operations

Qantev
2025

Developed a backend system for exclusion rule enforcement and optimized ETL pipelines, significantly enhancing fraud detection accuracy and data reliability for a health-tech insurer.

Technologies:

AzureDagsterDjango+3 more
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Project Expertise

Specialized in delivering high-impact data engineering solutions across diverse industries and use cases.

Pipeline Optimization

Transforming slow, unreliable data pipelines into high-performance engines

Architecture Design

Building scalable, future-proof data architectures from the ground up

Performance Tuning

Achieving dramatic improvements in processing speed and efficiency

Cloud Migration

Seamless transitions to modern cloud-native data platforms

Ready for Your Next Success Story?

Let's discuss how I can help you achieve similar results with your data infrastructure and engineering challenges.