Rebecca Amador
GHIN

// Hi, I'm Rebecca

Data Engineer

I buildcontext-rich data systems, AI-ready architectures, scalable data platforms, and pipelines that last.

I turn complex data work into dependable pipelines, useful tools, and systems people can actually understand.

✦ Explore projectsView experience ↓

// Career journey

↳

From Analytics
to Architecture.

My career has followed the data upstream: from explaining what happened, to improving how data moves, to designing the systems that make trusted insight possible.

01

The foundation

BHG Financial

Business Intelligence Analyst

Jul 2016 — Nov 2018Davie, Florida

I started closest to the business—learning how leaders ask questions, how teams use metrics, and how thoughtful reporting can change a decision.

Power BITableauDashboardsKPIsData Visualization
  • Designed interactive Power BI dashboards for executive and operational reporting.
  • Established KPI monitoring, drill-down reporting, and trend analysis across business teams.
02

Deeper into the data

BHG Financial

Senior Data Analyst

Nov 2018 — Jan 2022Fort Lauderdale, Florida

As the questions grew more complex, I moved beyond the dashboard—strengthening data quality, shaping repeatable analysis, and turning ambiguity into decision-ready insight.

AnalyticsSQLData QualityTrend AnalysisExecutive Reporting
  • Built executive reporting used to guide strategic business decisions.
  • Improved data validation, KPI visibility, and repeatable analytics processes.
03

Building the systems

BHG Financial

Data Engineer

Jan 2022 — Jul 2025Fort Lauderdale, Florida

Understanding the consumer side of data made the next step clear: build better foundations. I moved into engineering to modernize pipelines, automate workflows, and make reliable data easier to deliver.

Azure DatabricksSQLETLAutomationAzureAI POCs
  • Reduced a 400+ line SQL process to approximately 70 lines while improving maintainability.
  • Built Databricks ETL pipelines that supported higher-value lead opportunities and conversion growth.
  • Created AI proof-of-concepts using Databricks DBRX to support sales productivity.
  • Automated outbound lead distribution to Salesforce, streamlining business workflows.
04

Designing the platform

Iru

Data Engineer II

Oct 2025 — PresentMiami, Florida

Today, I bring the full journey together—business context, analytical rigor, and engineering craft—to help shape scalable data platforms for analytics, automation, and AI.

SnowflakedbtPythonSQLData EngineeringETL
  • Build and maintain modern data pipelines.
  • Design data models and transformation workflows.
  • Collaborate across teams to solve complex data problems.
  • Evaluate new tools and technologies to improve the platform.
◇

Projects_

Tools built to reduce repetitive setup and make the path from idea to working pipeline shorter.

Pipeline automation

01

Topic Sync Automation

A Python automation that handles the setup required to add a new Kafka topic across a data platform—from connector updates and Airflow configuration to dbt models, pull requests, and Slack notifications.

  • Creates coordinated pull requests across multiple repositories.
  • Supports realtime Snowflake and S3 sink workflows.
  • Includes dry-run scripts so every change can be reviewed first.
PythonKafkaAirflowdbtSnowflakeGitHub CLI
View on GitHub ↗

dbt developer tooling

02

dbt Modeling Toolkit

A collection of Python scripts that reads Snowflake schemas and generates dbt-ready models for Fivetran data, realtime Kafka topics, and Kafka data stored in S3.

  • Discovers Snowflake schemas and generates cleansed dbt models.
  • Creates realtime Kafka extraction models with type inference and array handling.
  • Bootstraps S3 external sources, model files, and source definitions.
PythondbtSnowflakeSQLKafkaS3
View on GitHub ↗

Portfolio experience

03

Personal Portfolio

A custom-built portfolio that turns my path from analytics to data architecture into a focused, responsive story—pairing clear technical content with a distinctive data-system visual language.

  • Designed a responsive single-page experience around career progression and project impact.
  • Built a custom visual system with animated messaging and data-flow-inspired details.
  • Configured secure public hosting, a custom domain, HTTPS, and social-sharing metadata.
TypeScriptReactvinextCSSCloudflareGitHub
View on GitHub ↗
See more on GitHub ↗
{ }

Stack_

The tools I use to move data from raw and fragmented to reliable, modeled, and ready for decisions.

PythonSQLSnowflakedbtDatabricksAirflowKafkaFivetranAzureDockerGitHub ActionsPower BITableauData ModelingETL / ELTAutomation

// Beyond the pipeline

Thoughtful systems.
Human outcomes.

I'm a data engineer based in South Florida, building scalable platforms that support analytics, automation, and AI.

My path from business intelligence to data architecture keeps me focused on the part that matters most: making complex work clearer and more useful.

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Supporting young professionals and community impact in South Florida.