Resume

Data Engineer

Data Engineer based in the Bay Area, passionate about building scalable and impactful data solutions.

Daniela Fernandez Espinosa

I am a Senior Data Engineer in the Data Ops Team at Ask Media Group. I am responsible for monitoring and improving our existing data pipelines as well as supporting users with daily data requests. My main responsibilities included, but are not limited to, planning, designing and executing ETL solutions, creating Looker dashboards for stakeholders to facilitate the decision-making process, and maintaining our data infrastructure.

Skills

Languages: Python, JavaScript, C/C++, Java, MATLAB, PHP, R, C#, HTML, AMPL, .NET

Databases: Postgres, MySQL, SQL, PostgreSQL, Oracle, Mongo, Hadoop, Hive, SOQL/SOSL, Snowflake, Cockroach

Business Intelligence and Analytics Software: Looker, Data Studio, Qlik, Tableau, Power BI, DataBox

Data streaming technologies: Snowpipe streaming (Snowflake), Spark (AWS Glue), Flink, Storm, Kinesis, Kafka

AWS Ecosystem: S3, IAM, Cloud Watch, ElastiCache, Managed Apache Airflow

Operating Systems: UNIX, LINUX, MacOS

Application Software: SAP BODS, SAP Hanna, SAP IS, Visio, SAS, Adobe Illustrator, Google Analytics, Apache-Airflow, Docker, Argo, DataBricks, Azure Data Factory, dbt, liquibase Data Privacy Regulations: PCI, CCPA, GDPR

Work Experience

Senior Data Engineer
Ask Media Group
Oakland, USA
08/2023 – Present

  • Collaborated with Analytics, Data Science, Security, DevOps, and Product Engineering teams to design, lead, and maintain 40+ data engineering pipelines and solutions using SQL, Python, Apache Airflow, Argo, Docker, Kubernetes, and AWS S3, delivering high-quality, reliable data to drive decision-making and improve the experience for users representing 3% of global internet traffic.
  • Built automated QA frameworks and testing pipelines for data models using SQL and Python, proactively identifying data issues and improving reliability for analytics and reporting use cases.
  • Managed junior data engineer operations, facilitated onboarding for new team members, coordinated task assignments with offshore teams, and troubleshot data management issues to provide cross-team support and ensure smooth collaboration.

Software Engineer Data Operations
Ask Media Group
Oakland, USA                  
09/2021 – 07/2023

  • Identified inefficiencies in internal processes and implemented improvements including automation of manual workflows, optimization of data delivery, and infrastructure redesign for greater scalability which enhanced data accuracy and resulted in over $35K in annual database credit savings.
  • Led a project to ingest real-time data from Fastly using Snowpipe streaming, significantly enhancing data processing capabilities. From the data ingested, Implemented real-time alerts with Anodot, enabling the business to halt low-performing web campaigns within 15 minutes achieving 70% reduction in costs and losses compared to previous methods.
  • Implemented data profiling rules and data validation alerts to 50 data hourly and daily ingestion processes to ensure reliability, availability, and integrity of our data using in-house information Steward tool. Kept maintaining and perfectioning the data rules until now based on the new business requirements. 

Data Engineer
Ask Media Group
Oakland, USA                                    
01/2021 – 09/2021

  • Created python scripts using GA Object Management API to automate manual processes during data migration from in-house web logging system to Google Analytics and Fastly
  • Leveraged data analytics tools to identify data inconsistencies and failures in data pipelines which reduced troubleshooting tasks by 20%
  • Executed data strategy to consolidate revenue and dimension tables from star schema to avoid data redundancy and increase data transparency, which helped reduce queries execution time by an average of 10 minutes for complex queries.

Junior Data Developer
Ask Media Group
Oakland, USA                                             01/2020 – 12-2020

  • Built over 30 data dashboards and reports with Looker to support the teams across the organization in the decision making process
  • Worked with the data engineering team to plan, design and execute over 30 ETL solutions in full life cycle end to end using Python, Amazon S3, and SQL.  
  • Create complex SQL queries to respond to ad hoc query requests for different stakeholders. 

Business Technology Analyst
Deloitte Consulting
New York, USA          
07/2018 – 12/2019

  • Planned, designed and executed ETL solutions in full life cycle end to end. 
  • Developed 45 data validation rules using SAP Information Steward to detect and correct 17 million records belonging to Customers and Vendors datasets.
  • Automated over 20 business processes and manual tasks in python saving over 10.4 hours of human work and decreasing the number of human resources needed per task.

Data Analyst, BITS Lab
Syracuse University
New York, USA          
08/2016 – 07/2018

  • Implemented python scripts for the extraction and analysis of 53 million of tweets related to Climate Change
  • Designed, implemented, tested, and supported database solutions in MongoDB and MySQL for the research project “Twitter Users’ Privacy Concerns: What do Their Accounts’ First Names Tell Us?”
  • Assisted and collaborated on data visualization using R, Adobe Illustrator and Tableau to provide strategic direction for the research “Automated diffusion? Bots and their influence during the 2016 U.S. presidential election”

Education

Master of Science in Information Management, Syracuse University, New York, USA

CAS in Data Science
Final GPA: 4.0/4.0

Computer Systems Engineer, Universidad Autonoma de Aguascalientes, Aguascalientes, México

Final GPA: 3.92/4.0 (Degree obtained with honors)

Publications

Fernandez Espinosa D. & Xiao Lu. (2017) Twitter Users’ Privacy Concerns: ¿What Do Their Accounts’ First Names Tell Us? Journal in Data and Information Science (JDIS). Volume III, Issue I (Feb. 2018).

Fernandez, D., Moctezuma, D., & Siordia, O. (2016). Features combination for gender recognition on Twitter Users. IEEE Autumn Meeting on Power, Electronics and Computing. Ixtapa: IEEE.

Ueti, R. d., Espinosa, D. F., Rafferty, L., & Hung, P. C. (2016). Case Studies of Government Use of Big Data in Latin America: Brazil and Mexico. Big Data Applications and Use Cases (pp. 197-214). Oshawa: Springer