Open to opportunities

Daniel Stamp

@danielstamp

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Senior software engineer building scalable cloud data platforms and high-performance ETL/ELT pipelines.

United States

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What I'm looking for

I’m looking to build reliable, cloud-native data platforms and ETL/ELT pipelines in Agile teams, partnering with product and analytics stakeholders to enable scalable analytics and machine learning—while continually improving performance, quality, and operational reliability.

I’m a Senior Software Engineer with 10 years of experience designing and delivering scalable data platforms, cloud-native applications, and high-performance data pipelines across SaaS, CRM, IoT, and digital platform environments. I build end-to-end data engineering solutions using Python, SQL, PySpark, and modern cloud ecosystems, with hands-on expertise in Databricks, Azure, and distributed data processing.

I’ve led major ETL/ELT and data modernization efforts, including designing near real-time analytics pipelines for CRM insights, optimizing ingestion with Azure Databricks and Azure Data Factory, and migrating legacy processing to a modern ELT architecture with Delta Lake and Spark. I implement robust data validation and quality frameworks, define source-to-target mappings, and build structured data models aligned to business requirements.

I also deliver across the stack when needed—developing REST APIs, full-stack dashboards, and production-ready data workflows—while strengthening reliability through monitoring and alerting and improving CI/CD automation with tools like GitHub Actions and Azure DevOps (and Jenkins for deployments). I enjoy working in Agile environments, mentoring engineers, and driving data-driven decision-making with efficient architectures for analytics and machine learning.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Copilot CRM

Sep 2023 - Feb 2026 (2 years 5 months)

Designed and implemented scalable ETL/ELT pipelines with Python, SQL, and PySpark to enable near real-time CRM analytics. Migrated legacy processing to Delta Lake and Spark, implemented data validation/quality frameworks, and built monitoring/alerting for reliable Azure Databricks workflows.

Python SQL Pyspark Databricks Azure Data Factory Delta Lake ETL Data Quality Alerting REST APIs Azure DevOps

Software Engineer

Phillips Connect

Aug 2020 - Aug 2023 (3 years)

Built scalable IoT data ingestion pipelines for fleet telemetry using Python and Spark to support real-time processing. Orchestrated workflows with AWS (S3, Lambda), implemented CDC for synchronization, optimized Spark performance, and supported production pipelines with CI/CD and on-call rotation.

Python Pyspark AWS S3 AWS Lambda SQL Data Pipelines CI CD Git

Full Stack Developer

Ardan Labs

Aug 2018 - Jul 2020 (1 year 11 months)

Developed full-stack applications integrating backend data pipelines with frontend dashboards using Python and JavaScript. Built REST APIs for exposing processed data, created ETL workflows with Python/SQL, and deployed scalable services and data logic with data validation and performance optimizations.

Python SQL JavaScript REST APIs ETL Data Validation Full Stack Agile Scrum Kanban SQL Optimization Deploying

Full Stack Developer

iDonate

Sep 2015 - Jun 2018 (2 years 9 months)

Built and maintained data pipelines for donor and transaction data using Python and SQL to power analytics and reporting. Designed backend services/APIs integrating fundraising with external systems and payment providers, created centralized ETL workflows, and developed dashboards with performance-focused query and processing optimizations.