
Eimis Pacheco Aviles
Eimis Pacheco Aviles new_releases
About
Detail
Manager, analytics solution engineer at Pfizer
San José, Costa Rica
Experienced professional (over 14 years of IT work experience) focused on autonomous, continuous learning, and constant career development. Posses strong back-ups of academic credentials and professional accomplishments. Highly motivated, curious, and proactive. Adaptable to technological changes and industry needs.
Throughout her professional career, she had the opportunity to perform different data roles that enriched her professional background, allowing her to visualize the big picture and not just a side of it. As a result, she has high-performance standards and usually outperforms by giving the extra mile.
Looking back to her progressive professional track, she has essentially been a data professional. Her responsibilities are mainly focused on processing the company data (initially with traditional tools, nowadays with the latest technologies).
Even though her background clearly conveys that the best position she fits in is data engineering, what sets her apart from others and makes her an outstanding candidate is the fact that she has been in different data roles, such as DB, ETL, and BI developer, data analyst, which means, she is not only able to write code, if not, she got data modeling experience for relational databases as well as dimensional modeling (decision-making purposes) and has data analysis abilities for reporting purposes. Moreover, since she is obsessed with keeping herself relevant and competitive, even when she does not have a broad experience in data science, she has a decent knowledge of ML and advanced analytics. Thus, she is aware of the challenges data scientists, ML and IA engineers face in their activities, which allows her to support them better. Her unique blend of skills, her broad understanding of other data roles' challenges, and her passion for the data world make her the ideal candidate for your data project goals.
Skillset:
✔ Big Data
✔ Data engineering
✔ Data Science
✔ Advanced Analytics
✔ Business Intelligence
✔ Data Modeling, DWH
✔ Amazon RedShift, S3, Glue, Amazon Lambda, Kinesis data stream & Firehose, SQS, SNS, DynamoDB
✔ Tableau
✔ Python
✔ Impala, Hive, Hue, SQLSpark, PySpark, Apache Hadoop, Delta Lake
Experience:
✔Databases: 14+ years
✔Programming: 14+ years
✔Data transformation and clean up: 14+ years
✔Business Intelligence: 7+ years
International Certifications:
✔ AWS Certified Solutions Architect - Associate
✔ Databricks Certified Developer for Apache Spark 3.0
✔Databricks Certified Data Engineer Associate
✔Big Data Professional Certificate
✔CDP Certified Generalist