Startups, Scaleups & Enterprise

Arturo Gonzalez M.

Fullstack, Software, ML, Data & AI Expert

24+ Years  |  Investment Banking · Energy Trading · Fintech · Risk · HFT · Health and more...

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About

Professional Overview

I've spent over 24 years building things that actually work under pressure — trading systems that can't go down, pricing engines that have to be right, and data pipelines that run at scale. I've worked across Investment Banking, Energy Trading, Fintech, Healthcare, and more, in cities from Mexico City to Shanghai to Sydney. I write code, lead teams, and get my hands dirty in production. I'm not a slide-deck consultant — I ship.

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Years Experience
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Engagements Delivered
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Countries Worked In
Global Delivery

Skills

Expertise & Tech Stack

I pick the right tool for the job. Here's what's in the toolbox.

Programming Languages
GoRustC/C++Elixir PythonJavaBash
Big Data & Warehousing
SnowflakeDatabricks Apache Sparkdbt KafkaBigQuery ClickHouseFlink Redshiftand more...
ML & AI
TensorFlowPyTorch HuggingFaceAWS SageMaker YOLOOpenCV MLFlow LangChain Ollama and more...
Cloud & DevOps
AWSAzureGCP KubernetesDocker TerraformJenkins BuildkiteGitHub GitLabGrafana and more...
Databases (SQL/NoSQL)
PostgreSQLMongoDB ClickHouseInfluxDB CassandraMSSQL TimescaleDBPrometheus and more...
Financial & Energy Systems
Murex 3.xCalypso Kondor++Charles River BroadridgeFIX Protocol IRESSORC ReutersBloomberg EnergyOneAEMO and more...

Career

Professional Experience

A career built on solving hard problems in demanding environments — from trading floors in Shanghai to energy control rooms in Sydney.

Energy Australia
Quant, Data & ML Engineer
2022 – 2025
Australia
PythonRust PyTorchLlama 3.1 KafkaClickHouse Snowflake
  • Designed and built real-time electricity & gas trading pipelines in Python/Rust, handling millions of tick events per day with strict latency requirements.
  • Implemented energy derivatives pricing models — Greeks, VaR, Volatility Surface — integrated directly into the trading desk workflow.
  • Fine-tuned Llama 3.1 on proprietary energy market data; the resulting model is now used internally for market commentary and report generation.
Latitude Financial Services
Senior DataOps Engineer
2023 – 2024
Australia
GoSnowflake SnowparkClickHouse dbtDocker PythonBuildKite TealiumTerraform CloudFormationKinesis KafkaS3 AstronomerApache Airflow
  • Implemented Snowflake and Kubernetes pipelines with Airflow/Astronomer for event-driven orchestration, dbt transformations, microservice deployments, and data modeling, while leading design and mentoring initiatives.
HSS – Department of Health WA
Senior MLOps / DataOps Engineer
2023 – 2024
Australia
GoAzure DevOps SnowflakeClickHouse Azure FunctionsAzure Event Hub KafkaGoldenGate
  • Built from scratch near real-time data pipelines to ingest and process health data across Western Australia, enabling timely visibility into critical health system metrics.
  • Designed and implemented an anomaly detection strategy for the health sector across WA, surfacing irregular patterns in patient and operational data to support proactive decision-making.
Seek Australia
Senior DataOps Engineer
2022 – 2023
Australia
GoAWS ECR AWS BatchDatabricks PySparkPython AWS S3AWS Redshift DockerApache Airflow
  • Designed and built Workday SOAP/REST ETL pipelines orchestrated with Airflow in Docker/PySpark, while engaging stakeholders and mentoring team members.
WorkSafe Victoria
Senior Data Engineer
2021 – 2022
Australia
GoSnowflake PythonAWS Glue Apache Airflow
  • Implemented Snowflake and S3-based data lake with Glue and Airflow (Data Vault 2.0), automating stored procedures, delivering insights via Power BI, and leading teams to successful outcomes.
Ausgrid
Quant & Data Engineer
2020 – 2022
Australia
Azure FabricDatabricks KafkaPythondbt
  • Drove the migration of Ausgrid's core grid data infrastructure to Azure Fabric — a politically complex project involving multiple legacy systems and teams who didn't always agree.
  • Built Kafka-based streaming pipelines feeding Databricks for near-real-time grid event monitoring across the Sydney distribution network.
  • Introduced dbt as the transformation standard, replacing a tangle of ad-hoc SQL scripts and making the analytics layer actually maintainable.
CoreLogic Australia
Senior DataOps Engineer
2021 – 2022
Australia
AWS GlueAWS S3 SQLPython dbtTerraform Snowflake
  • Delivered end-to-end Snowflake and SQS (Snowpipe) solutions with AWS Glue/dbt orchestration, CI/CD via GitLab/Terraform, Airflow automation, Power BI reporting, and team leadership.
TAL Life Insurance
Senior Software / Data / ML Engineer
2019 – 2021
Australia
GoAzure DatabricksApache Spark PySparkPython NLPRust SynapseADF MatillionFlask API DockerKubernetes AirflowMSSQL Apache Zeppelin
  • Designed and built on-prem/Cloud data pipelines with ETL/ELT, NLP/ML integration, Rust-based NLP API, Power BI/Tableau analytics, and drove best practices, stakeholder engagement, and team delivery.
  • Designed and delivered on-prem/Azure data pipelines with ETL/ELT, NLP productionization via REST APIs, Delta Lake (Azure/Cloudera), IaC (ARM/Terraform), Docker/Kubernetes environments, and led teams with strong stakeholder engagement and strategic input.
Healthdirect Australia
Lead Enterprise Data Services Engineer
2018
Australia
MSSQLPython Apache SparkAWS Glue PySparkAWS S3 AWS AthenaAWS Lambda AWS Aurora PostgreSQLCloudFormation KafkaElastic Search KibanaQlik
  • Designed and built DaaS/ETL pipelines migrating MSSQL/Excel to AWS, developed ingestion from diverse sources (SFTP, APIs, DBs), and led teams with strong stakeholder engagement and strategic input.
Mason Stevens Australia
Quant & Software Engineer
2017
Australia
GoR PythonApache Spark Amazon EMRRedshift S3Apache Hive KafkaCloudera QlikTableau Power BI
  • Led migration from MSSQL/Cloudera to AWS, designed and maintained ETL/data systems, supported front-office trading, delivered GoLang/WebSocket solutions, mentored teams, managed stakeholders, and built time-series forecasting models (ARIMA, LSTM, Random Forests, CNN).
NBNCo Australia
Data / Python Team Leader
2016
Australia
PythonFlask PostgreSQLPostGIS RabbitMQCelery QGISApache Spark MongoDBJavaScript
  • Designed and enhanced an Asset Transfer ETL tool, performed geospatial data analysis with shapefiles, and integrated AutoCAD maps.
Standard Chartered Bank
Lead Technology Consultant – Commodities Front Office
2011 – 2015
China · Asia · Europe
Murex MX3.1Java OracleFIX Protocol
  • Led a 48-person team across Shanghai, Singapore, London and Frankfurt to deliver the MX3.1 upgrade for the commodities front office — on time, despite the usual chaos of a multi-region bank programme.
  • Owned the technology roadmap for commodities front-office systems across metals, energy, and agri product lines.
  • Introduced proper SDLC discipline to a team that had been running on tribal knowledge — reduced production incidents significantly in the first six months.
Westpac Australia
Quant & Senior Software Engineer
2014 – 2015
Australia
Murex 3.1C/C++ JavaPython CalypsoBloomberg FIX ProtocolApache Spark R
  • Developed quantitative models (SFI, PDE, Monte Carlo, Cox-Rubinstein) for equities, built ETL and pricing integrations across Murex/Calypso, delivered forecasting and analytics, and provided front-office/trading desk support.
McKenzie Trading Systems Australia
Quant & Senior Software Engineer
2013
Australia
C++Python RJava CalypsoAWS QuantLibGo
  • Developed quant trading systems with backtesting (SVM, pricing), built forecasting models, migrated from Adobe Flex to HTML5, and delivered a GoLang-based trading platform.
Western Power
Senior Software Developer
2012
Perth, Australia
JavaJEE SVNJira ConfluenceJenkins MavenAnt HibernateSpring Tomcat
  • Design and implementation of an energy distribution system.
Energy One
Java / JEE Developer
2011
Sydney, Australia
C++Java JEEAdobe Flex BlazeDSPython JiraConfluence
  • System architecture design, build and implementation of an Energy Trading and Risk Management system.
  • Helped to build one of the first prototypes of the new version of the trading and risk management platforms.
Accenture
Capital Markets Technology Consultant
2001 – 2008
Mexico · USA
CalypsoKondor++ JavaCharles River Broadridge
  • Worked across HSBC, Morgan Stanley, BBVA, and IXE as a capital markets consultant — each engagement different, each with its own constraints and internal politics.
  • Implemented front-to-back trading systems using Calypso and Kondor++ across FX, Rates, and Equities desks.
  • This is where I learned that the technical problem is rarely the hardest part of a large programme.

Verticals

Industries Served

Every industry has its own language, constraints, and politics. I've learned to navigate them.

Investment Banking
Energy Trading
Healthcare
Supply Chain
Government
Insurance
Fintech
Spatial Analytics

Get In Touch

Let's Work Together

Let's talk

I take on a small number of engagements at a time so I can actually focus. If you have a hard problem — a system that needs to be faster, a model that needs to be smarter, or a team that needs a senior hand — reach out.

Email
info@arturosolutions.com
B2B
Arturo Data-Tech Solutions
Freelancer & Independent Contractor
Arturo Gonzalez M.
Website
www.arturosolutions.com
GitHub
github.com/arturogonzalezm