Plenert Macdonald Software Services

Data & Cloud Engineering Experts

Data & Cloud Engineering Services

Core Expertise

Data Engineering

  • Data pipeline development (ETL/ELT workflows)
  • Real-time streaming architectures
  • Data lake design and implementation (medallion architecture)
  • Data quality frameworks and validation

Cloud Infrastructure

  • AWS: Redshift, S3, Glue, EMR, Lambda, Kinesis, Step Functions, Athena
  • GCP: Cloud Storage, Cloud Run, Cloud Spanner, BigQuery, Kubeflow
  • Container orchestration with Kubernetes
  • Infrastructure automation and CI/CD

Machine Learning Platforms

  • MLOps pipelines and model deployment
  • Training infrastructure optimization
  • Feature engineering and data preparation
  • Model serving (REST APIs, batch inference)

Platform Engineering

  • API development (REST, GraphQL, gRPC)
  • Microservices architecture
  • Monitoring and observability
  • Performance optimization

Technology Stack

Languages: Python, SQL, Go

Data Tools: Palantir Foundry, DBT, PySpark, Polars, Pandas, NumPy, Scikit-learn, TensorFlow, MXNet

Infrastructure: Kubernetes, Docker, AWS, GCP

Industry Experience

  • eCommerce & Retail
  • Financial Services
  • Agriculture & Commerce
  • Sustainable Mobility
  • Technology & Security

Select Projects

Product Data Ingestion - Built scalable data pipelines in Palantir Foundry for eCommerce client, implementing quality checks with PySpark/Polars transforms

Financial Data Platform - Architected data lake using GCP Cloud Storage, deployed API with Cloud Run and Spanner, maintained ML workflows with Kubeflow

CRM/ERP Integration - Data modeling for corporate systems using DBT, Golang migrate, medallion architecture patterns

IoT Analytics Platform - Optimized big data pipelines on AWS (Redshift, S3, Kinesis), built IoT monitoring for physical infrastructure

Contact: software@apmac.us