Adriana Estrada
Lead Data Engineer @JAMP Pharma Group
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WORK HISTORY
Lead Data Engineer @JAMP Pharma Group
Montreal, QC, CA
EDUCATION
Erudit Academy Inc.
Vocacional Diploma, Bussiness
AWS
Certificate, AWS-Redshift
Vanier College
Web and Database Programming
Université de Montréal
Certificate, Techniques d'IA : des fondements aux applications
Université de Montréal
Certificat en français langue seconde
Montreal College of Information Technology
Big Data Developer Program, Data Engineering
AWS
Certificate
McGill University
Certificate Proficiency - English Language and Culture (Intensive)
Universidad Industrial de Santander
Chemical Engineering
Collège de Bois-de-Boulogne
Science des données pour l’Intelligence Artificielle
ABOUT ADRIANA ESTRADA
Data engineer and business intelligence, I specialize in transforming raw data into actionable insights that drive business success. My professional journey spans diverse sectors, including energy, finance, mining and technology, where I have honed my expertise in designing and optimizing robust data infrastructures.In my recent role as a Data Engineer at Agnico Eagle, I successfully led the implementation of scalable data solutions using cutting-edge tools such as Azure Data Factory, Databricks, and Power BI. This included designing medallion architectures, developing ETL pipelines for real-time data processing, and creating dashboards that enhanced decision-making. My efforts contributed to a 20% improvement in data reliability and performance, showcasing my ability to deliver tangible results in dynamic environments.I have extensive hands-on experience with big data technologies like Spark, Hadoop, and Kafka, as well as cloud platforms such as AWS and Azure. My work in data quality management at PSP Investments further reinforced my commitment to ensuring the accuracy and reliability of data across multiple asset classes, leveraging frameworks like Informatica and Tableau to establish strong governance practices.Beyond my technical expertise, I have demonstrated strong stakeholder management skills, working collaboratively with cross-functional teams to align data strategies with business objectives. I am adept at automating processes, optimizing data delivery, and designing solutions that are both scalable and efficient. My experience with predictive modeling and machine learning techniques reflects my commitment to staying at the forefront of innovation in the data engineering space.I am passionate about using data to solve complex problems and deliver high-impact solutions. Whether developing real-time data pipelines, ensuring data quality, or creating compelling visualizations, I bring a detail-oriented and results-driven approach to every project I undertake.
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