07/16/2024 updated
100 % available
Principal Data & Software Engineer | DataOps & MLOps Specialist | 7x GCP Certified
Badajoz, Spain
Only remote
Computer ScienceJava (Programming Language)JavaScript.NET FrameworkApache AirflowAmazon Web ServicesData AnalysisHTML5Big DataGoogle BigQueryC Sharp (Programming Language)UnixCascading Style Sheets (CSS)Cloud ComputingDatabasesInformation Engineering
.NET, Airflow, AWS, Hadoop, Apache Kafka, Oozie, Apache Spark, Spark, Big Data, BigQuery, C#, CSS3, Cassandra, cloud, Cloudera, Data Analysis, data governance, data integrity, data lake, data pipeline, data processing, Data Storage, data strategy, streaming, Dataflow, data flow, Databases, distributed systems, Docker, ETL, ETL development, git, GitHub, Google Cloud, HTML5, HDFS, Data Engineering, Java, JavaScript, KSH, Servers, Oracle Databases, Python, real-time data, system reliability, SQL, Scala, scripting, Snowflake, software issues, Sun Solaris, Unix, virtual machines
Experience
Professional experience10+ years
Freelancer since2024
Languages
EnglishFluentSpanishNative speaker
Project history
* Engineered and maintained robust ETL processes, reducing data processing time
by 70% and optimizing resource utilization, resulting in a more cost-effective
solution.
* Leveraged Google Cloud technologies, including BigQuery and Dataflow, to
transform and analyze massive amounts of error and event data, enabling quicker
identification and resolution of software issues.
* Implemented effective monitoring and alerting systems, reducing response time to
critical issues by 40% and ensuring data integrity and system reliability.
* Collaborated cross-functionally with product and engineering teams to understand
data requirements and provided strategic insights that contributed to product
enhancements and improved user experience.
* Developed and maintained clear and up-to-date documentation for data
processes, pipelines, and transformations, facilitating seamless collaboration
among different teams.
by 70% and optimizing resource utilization, resulting in a more cost-effective
solution.
* Leveraged Google Cloud technologies, including BigQuery and Dataflow, to
transform and analyze massive amounts of error and event data, enabling quicker
identification and resolution of software issues.
* Implemented effective monitoring and alerting systems, reducing response time to
critical issues by 40% and ensuring data integrity and system reliability.
* Collaborated cross-functionally with product and engineering teams to understand
data requirements and provided strategic insights that contributed to product
enhancements and improved user experience.
* Developed and maintained clear and up-to-date documentation for data
processes, pipelines, and transformations, facilitating seamless collaboration
among different teams.
* Spearheaded a pivotal project migrating a Snowflake model to AWS, slashing
computation costs by 25%.
* Orchestrated a robust platform, empowering data-driven decision-making with
cost-efficiency.
* Led dynamic teams, delivering projects on time, fostering collaboration, and
defining clear task objectives.
* Showcased deep data engineering expertise, overseeing complex data pipeline
design and implementation.
* Ensured seamless integration of diverse data sources, optimizing data flow for
efficiency and accuracy.
* Collaborated across teams, aligning technical solutions with business
requirements for project success.
computation costs by 25%.
* Orchestrated a robust platform, empowering data-driven decision-making with
cost-efficiency.
* Led dynamic teams, delivering projects on time, fostering collaboration, and
defining clear task objectives.
* Showcased deep data engineering expertise, overseeing complex data pipeline
design and implementation.
* Ensured seamless integration of diverse data sources, optimizing data flow for
efficiency and accuracy.
* Collaborated across teams, aligning technical solutions with business
requirements for project success.
* Shaped and executed the organization's data strategy from the ground up, focusing
on AWS, big data, and advanced technology.
* We established a robust data-centric architecture, implementing a data lake for
versatility.
* Led data governance, ensuring high standards in quality, security, lineage, and
business relevance.
* Spearheaded standardization of data pipeline processes, optimizing developer
performance and workflow.
* Delivered real-time data, empowering BI with immediate access to KPIs, and
enhancing decision-making.
on AWS, big data, and advanced technology.
* We established a robust data-centric architecture, implementing a data lake for
versatility.
* Led data governance, ensuring high standards in quality, security, lineage, and
business relevance.
* Spearheaded standardization of data pipeline processes, optimizing developer
performance and workflow.
* Delivered real-time data, empowering BI with immediate access to KPIs, and
enhancing decision-making.