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JacquelineGrecco/README.md

Hello! 👋

I'm Jacqueline Grecco, a Lead Data Engineer & Architect from Brazil.

  • ❤️ I love to work at the intersection of Big Data and Infrastructure as Code.
  • 🚀 I'm obsessed with efficiency. If it can be automated, I will write a script for it.
  • ☁️ I work on the cloud... all of them (AWS, Azure, GCP).
  • 💬 I love talking about Data Lakehouses, FinOps, and Databricks.
  • 🍷 If we work together, I’ll probably bring snacks to meetings.
  • ☕ I’m a tea lover and recipe explorer — mixing flavors in life and code.
  • 🐶 My dog is called "Mel", which means "honey" in Portuguese. She is incredibly sweet 🍯.

🔗 Connect with me

LinkedIn GitHub Medium Gmail

⚡ Stack

  • Data Engineering: Databricks, Apache Spark, Delta Lake, Airflow, Kafka, StreamSets, Trino, Glue, EMR.
  • Cloud & Infrastructure: AWS (Lambda, CDK, Athena, Redshift), Azure (Data Factory, Event Hubs, Synapse), GCP (BigQuery), Terraform, Docker.
  • Languages: Python 🐍, SQL 📊, Scala 🔁, TypeScript, Bash, Java.
  • Databases & BI: Snowflake, PostgreSQL, MongoDB, Power BI, Metabase, Looker, Kibana.
  • DevOps: GitHub Actions, Azure DevOps, CI/CD, Gitflow.

Pinned Loading

  1. aws-serverless-file-ingestion aws-serverless-file-ingestion Public

    A configuration-driven, serverless ingestion engine using AWS CDK, S3, SNS, and Lambda.

    TypeScript

  2. azure-finops-cost-analyzer azure-finops-cost-analyzer Public

    A Data Lakehouse solution to ingest Azure billing data, detect spending anomalies, and feed FinOps dashboards.

    Python

  3. realtime-deployment-monitor realtime-deployment-monitor Public

    A real-time anomaly detection system for engineering deployments using Spark Streaming and Kafka

    Python