Micaela M.
Data Engineer

Skills

Airflow

Spark

Sql

Python

Salesforce

Amazon Aws

Micaela is available for hire

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Bio

Data Engineer leveraging data for practical solutions. Holder of a degree in Systems Analysis and Development from Faculdade de Informática e Administração Paulista. Proficient in data processing with Apache Spark, Python, SQL, and the AWS ecosystem, including EMR, S3, EC2, Lambda, Glue, Athena, Redshift, DynamoDB, and ECS. Hands-on experience includes Salesforce, Databricks, Airflow, Apache NiFi, and automation and CI/CD tools such as CloudFormation and Jenkins. Skilled in creating and monitoring dashboards with Grafana, developing chatbots, IoT technologies, and using data visualization tools like Quicksight, Qlik, PowerBI, and Tableau. Familiar with Agile methodologies. AWS Developer - Associate certified and currently pursuing AWS Data Engineer - Associate certification. Actively improving English communication skills with confidence in listening, reading, and writing.

Data Engineer
7/1/2022 - Present

Worked on CRM projects providing customer experience data sourced from partner tools, supporting analytical teams. Focused on the creation, maintenance, and improvement of ETL flows to enhance performance and efficiency. Developed technical proficiency using Amazon Appflow, Amazon Redshift, Apache Airflow, and Apache NiFi. Gained experience in Amazon Athena, PySpark, SQL, and Amazon EMR, with significant work in Python and Salesforce integration. Ensured effective data maintenance utilizing Amazon DynamoDB, Amazon S3, AWS Lambda, Amazon ECS, and Amazon SNS. Implemented robust solutions using Amazon SQS, AWS Glue, and Identity and Access Management (IAM), while maintaining collaborative code versions with Git.
Data Engineer
8/1/2020 - 6/1/2022

Focused on managing cross-data used throughout the organization, with responsibilities including data provisioning, comprehension, and support. Key involvement in end-to-end data delivery encompassed understanding business rules with the client, developing data pipelines from the data provisioning layer, data modeling, and ultimately the analysis and visualization of delivered data. Assumed increased team responsibilities by assigning tasks and making direct client contact to resolve issues and update project statuses. Developed proficiency in PySpark, SQL, and ETL processes, and utilized AWS suite tools such as Glue, Lambda, Athena, DynamoDB, EMR, S3, SQS, SNS. Employed Jenkins for CI/CD pipelines, AWS Step Functions for workflow orchestration, and Git for version control.