01/07/2026 updated

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Lead/Senior Data Engineer

Tbilisi, Georgia Applied Mathematics to Programming - UNAM
Tbilisi, Georgia Applied Mathematics to Programming - UNAM

Profile attachments

Resume_Arturo_Gonzalez_SE.docx

About me

Senior Data Engineer with 10+ years building and operating production data platforms across energy trading, finance, health, insurance, and regulated industries. Hands-on with Spark/PySpark, Airflow, Databricks, Snowflake, AWS & Azure, delivering scalable ETL/ELT pipelines for remote setups.

Controles de AccesoApplication Programming Interfaces (APIs)Apache AirflowAmazon Web ServicesAmazon S3Analytical ProceduresData AnalysisArchitectureAutomationMicrosoft AzureBash ShellBig DataGoogle BigQueryCloud ComputingComputer ProgrammingContinuous IntegrationInformation EngineeringData GovernanceExtract Transform Load (ETL)Data ModelingData QualityData WarehousingDevOpsDistributed Data StoreGovernanceScalabilityInfrastructure ManagementPython (Programming Language)Machine LearningPerformance TuningScrum MethodologyProduction SupportDataOpsSQL DatabasesData StreamingWorkflowsStakeholder CommunicationsData ProcessingSnowflakeApache SparkDependency ManagementData ProtectionInfrastructure as Code (IaC)GitData LakePySparkCore DataAWS GlueApache KafkaGDPRSafety PrinciplesAzure Synapse AnalyticsData PipelineDockerDatabricks
Core Data Engineering Skills
Data Engineering & Data Platform Architecture
ETL / ELT Pipeline Design & Implementation
Batch & Streaming Data Processing
Data Modeling (Dimensional, Analytical, Domain-Driven)
Data Quality, Validation & Observability
Performance Optimisation & Scalability

Big Data & Processing
Apache Spark / PySpark
Databricks (Jobs, Delta Lake, Unity Catalog)
Kafka / Event-Driven Pipelines (where applicable)
Large-Scale Distributed Data Processing

Workflow Orchestration
Apache Airflow
Cloud-native schedulers (ADF pipelines, managed workflows)
Dependency management, retries, SLAs, monitoring

Cloud & Platforms
AWS: S3, Glue, EMR, Athena, Lambda
Azure: Data Factory, Synapse, Data Lake, Databricks
Cloud-native data pipeline design

Data Warehousing & Analytics
Snowflake
Azure Synapse
BigQuery / Redshift (conceptual + practical)
SQL performance tuning & optimisation

Programming & Querying
Python (data pipelines, automation, APIs)
SQL (advanced analytics, transformations, optimisation)
Bash / scripting

DevOps & Engineering Practices
CI/CD for data pipelines
Git-based workflows
Docker (basic to intermediate)
Infrastructure-as-Code exposure

Governance, Security & Compliance
Data Governance & Lineage
GDPR / regulated-industry data handling
Access control, auditability, data protection

Delivery & Contract Experience
Remote-first & contract engagements
Stakeholder communication
Agile / Scrum environments
Production support & on-call ownership


Languages

EnglishFluentSpanishNative speaker

Project history

Senior Data Engineer

Energy Australia

Energy, Water & Environment

250-500 team member

Built and maintained large-scale energy trading data pipelines supporting electricity, gas, and green products. Implemented Databricks-based transformation layers using PySpark. Contributed to pricing, risk(VaR, STRM), and MTM data workflows. Implemented Unity Catalog for data governance and lineage.

Senior Data Engineer

Ausgrid

Energy, Water & Environment

250-500 team member

Designed and implemented scalable ETL pipelines for energy data platforms. Built asynchronous ingestion services using Azure Durable Functions. Migrated workloads to Azure Databricks and Azure Fabric. Implemented governance and lineage via Unity Catalog. Contributed to pricing and risk data workflows for Green Energy Trading.

Senior Data Engineer

Latitude Financial

Banking & Financial Services

500-1000 team member

Delivered dbt-based, Snowflake-based ETL batch-based pipelines and data models. Built event-driven ingestion pipelines. Implemented dbt transformations and CI/CD workflows. Supported cost-efficient, production-grade data orchestration.

Seek Australia

Seek Australia

Media & Publishing

500-1000 team member

Built ETL pipelines integrating Workday data using Spark and Airflow. Designed containerised batch processing workloads from Workday API. Delivered analytics datasets to internal stakeholders by pulling data from Workday.

Senior Data Engineer

WorkSafe Australia

Government and Public Services

500-1000 team member

Implemented Snowflake-based data lake architecture. Designed Data Vault-style 2.0 ingestion pipelines. Automated data quality and reporting workflows. Build tool to autogenerate Store procs adapted to DV2.0.


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