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Alisson Correia

@alissoncorreia1

Senior data engineer specializing in cloud-native lakehouse, streaming pipelines, and real-time analytics for fintech and AI.

Brazil

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What I'm looking for

I’m looking for a Senior Data Engineering role where I can lead cloud-native lakehouse and streaming pipelines, partner with cross-functional teams, and deliver reliable, high-volume data products that power analytics, digital products, and AI initiatives.

I’m a Senior Data Engineer with 12+ years optimizing data platforms and building real-time streaming systems for high-volume product and customer events. I lead ETL/ELT pipelines end-to-end—translating ambiguous stakeholder needs into ingestion patterns, transformation designs, and curated data layers—then shipping reliable outputs for digital banking, fintech, and e-commerce use cases.

My work focuses on lakehouse and cloud-native architecture: Apache Spark, Kafka, Delta Lake, and Databricks, backed by orchestration and warehouse layers like Apache Airflow, AWS Glue, and Amazon Redshift/Snowflake. I’ve improved query latency by 30%, increased data processing efficiency by 40%, and helped reduce data quality issues by 25% through schema design best practices, validation/lineage awareness, and metadata-rich datasets that support AI initiatives.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Cheesecake Labs

Aug 2022 - Mar 2026 (3 years 7 months)

Led complex data engineering workstreams across multiple business environments, architecting cloud-native lakehouse solutions for fintech, e-commerce, and digital banking clients. Built and optimized large-scale ETL/ELT and Kafka-based streaming pipelines using Python, Spark, Airflow, and cloud data warehouses.

Apache Spark Kafka Delta Lake Databricks Lakehouse Python SQL Pyspark Apache Airflow AWS Glue Amazon Redshift Snowflake Data Warehouse Schema Design Data Validation Data Lineage Redshift MongoDB Cassandra DynamoDB Redis

Cloud Data Engineer / Python Developer

BairesDev

Sep 2018 - Jun 2022 (3 years 9 months)

Developed and supported ETL workflows and cloud data modernization efforts using Python, SQL, and Apache Spark for enterprise clients and platforms. Migrated legacy reporting to cloud-native data warehouses on AWS and Google Cloud, improving data processing efficiency.

Python SQL Apache Spark Apache Airflow Terraform Docker Kubernetes GitHub Actions Jenkins AWS Google BigQuery Data Modeling Lakehouse Medallion Architecture

Native Backend Developer

ConstruConnect

Aug 2016 - Jul 2018 (1 year 11 months)

Developed backend services and RESTful APIs for a construction management platform connecting contractors, suppliers, and project stakeholders. Built reporting modules for project progress, procurement, and budgeting to support operational analytics.

Backend Services REST APIs Python SQL Reporting Module Operational Analytics