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Senior Software Engineer with 10 years of experience building scalable data platforms, analytical pipelines, and production data services across healthcare, SaaS, and enterprise environments. Strong in Python, SQL, PySpark, Databricks, Snowflake, and dbt, with a focus on reliable ETL/ELT workflows and trusted datasets and KPIs. Recently integrated LLM-powered AI agents through Python/FastAPI to support intelligent analytics and workflow automation. Experienced with cloud data architecture, data quality, security, observability, and translating business requirements into production-ready data solutions.…Senior Software Engineer with 10 years of experience building scalable data platforms, analytical pipelines, and production data services across healthcare, SaaS, and enterprise environments. Strong in Python, SQL, PySpark, Databricks, Snowflake, and dbt, with a focus on reliable ETL/ELT workflows and trusted datasets and KPIs. Recently integrated LLM-powered AI agents through Python/FastAPI to support intelligent analytics and workflow automation. Experienced with cloud data architecture, data quality, security, observability, and translating business requirements into production-ready data solutions.

Anthony Canady

Data Engineer, Software Engineer, Back-End Developer

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Senior Software Engineer with 10 years of experience building scalable data platforms, analytical pipelines, and production data services across healthcare, SaaS, and enterprise environments. Strong in Python, SQL, PySpark, Databricks, Snowflake, and dbt, with a focus on reliable ETL/ELT workflows and trusted datasets and KPIs. Recently integrated LLM-powered AI agents through Python/FastAPI to support intelligent analytics and workflow automation. Experienced with cloud data architecture, data quality, security, observability, and translating business requirements into production-ready data solutions.…Senior Software Engineer with 10 years of experience building scalable data platforms, analytical pipelines, and production data services across healthcare, SaaS, and enterprise environments. Strong in Python, SQL, PySpark, Databricks, Snowflake, and dbt, with a focus on reliable ETL/ELT workflows and trusted datasets and KPIs. Recently integrated LLM-powered AI agents through Python/FastAPI to support intelligent analytics and workflow automation. Experienced with cloud data architecture, data quality, security, observability, and translating business requirements into production-ready data solutions.

Available to hire

Senior Software Engineer with 10 years of experience building scalable data platforms, analytical pipelines, and production data services across healthcare, SaaS, and enterprise environments. Strong in Python, SQL, PySpark, Databricks, Snowflake, and dbt, with a focus on reliable ETL/ELT workflows and trusted datasets and KPIs.

Recently integrated LLM-powered AI agents through Python/FastAPI to support intelligent analytics and workflow automation. Experienced with cloud data architecture, data quality, security, observability, and translating business requirements into production-ready data solutions.

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Work Experience

Senior Software Engineer at Planet Argon

November 1, 2023 - Present

Designed and maintained scalable Python, SQL, and PySpark data pipelines for structured and unstructured application data across operational, analytics, and AI workloads. Built lakehouse and analytical workflows with Databricks, Snowflake, Delta Lake, and dbt to deliver reusable transformation models and governed datasets for reporting and KPIs. Developed Python/FastAPI services enabling LLM-powered AI agents with RAG, vector retrieval, structured outputs, and tool calling. Orchestrated ingestion and transformation using Azure Data Factory, Databricks Workflows, and Airflow, optimizing execution time via parallel processing and workload tuning. Implemented data quality controls using dbt tests, schema validation, reconciliation checks, and monitoring. Optimized Snowflake, PostgreSQL, and Databricks SQL workloads to reduce analytics latency, and built dashboards for decision-oriented reporting. Deployed and monitored workloads across AWS, Azure, and GCP with Docker, Kubernetes, Terrafor

Senior Software Engineer at Ribbon Health

February 1, 2020 - September 1, 2023

Built Python and PySpark ETL/ELT pipelines for healthcare provider and patient datasets, processing 10M+ records for analytics, reporting, and machine learning. Developed analytical models in Snowflake and Databricks using SQL and dbt to standardize business definitions and expose trusted datasets. Designed ingestion pipelines with Azure Data Factory, Airflow, and Kafka, integrating APIs, relational databases, files, and event streams. Partnered with product and analytics teams to define KPIs, metric definitions, and data-quality rules, converting business questions into reusable analytical datasets. Delivered BI via Tableau, Power BI, and Looker dashboards for product and operational healthcare metrics. Improved query and pipeline performance through Spark tuning, Snowflake optimization, caching, and incremental dbt processing. Implemented HIPAA-aligned security, IAM, encryption, audit logging, and production monitoring with Prometheus/Grafana/ELK.

Software Engineer at Oracle

March 1, 2018 - December 1, 2019

Developed Python and SQL data pipelines to ingest, clean, transform, and organize enterprise data from databases, APIs, and internal business systems. Built distributed processing workflows with Spark and PySpark for large datasets supporting reporting, analytics, and downstream machine learning. Designed relational data models in Oracle Database, SQL Server, and PostgreSQL. Created scheduled ETL jobs using Pandas/NumPy and SQL with validation, deduplication, and transformation. Integrated pipelines with AWS and Oracle Cloud storage/compute using Docker and automated CI/CD. Collaborated with analysts, data scientists, and application teams to translate reporting and modeling requirements into reliable data solutions.

Software Developer at Tomorrow Health

January 1, 2016 - February 1, 2018

Built Python-based data processing workflows with Pandas/NumPy/SQL for healthcare datasets. Developed Spark ETL pipelines to clean, transform, and aggregate data for reporting, analytics, and predictive modeling. Worked with PostgreSQL, MySQL, and MongoDB to organize application and analytical datasets and support downstream reporting. Built REST-based integration services in Python to collect and exchange data across healthcare applications and internal systems. Applied OAuth2/JWT and HIPAA-aligned access controls, automated testing, and production monitoring to secure and operate healthcare data workflows.