Dedicated, creative, and agile individual with the ability to think around corners and to put in what's required to meet deadlines and goals. Curious and interrogative about existing and developing processes and methods, deeply interested in the real-world implications of data findings. Voracious learner, applying this to core work as well as developing context in the workplace, both technical - learning about the niceties and limitations of data infrastructure work is executed on - and 'political' - developing knowledge about cross-departmental dependencies, other departments' goals and capacity, in order to better understand and thus plan projects and new dependencies. This constant low-level interest also results in often bringing partial or complete solutions alongside requests for support, significantly speeding up those processes.My near-decade of experience working with large datasets and building reliable products reflects a deep interest in methodology fit and quality control for end-products. I've worked on different sides of data infrastructure and result interpretation, and bring that context to whatever job I'm working. I prefer to work smarter but I also know that, sometimes, working harder is the only viable option.I have a wide skillset, including but not limited to:Expert Tech Proficiencies: R; PostgreSQL; Amazon Redshift; Scripting solutions; Data cleaning; robust data analytics workflows; euclidean ball clustering (very useful for balancing in-progress surveys); R package development; gitNonexpert Tech proficiencies: Python (it's good, it's just not as good as my R); Apache Spark; Spark and Hadoop cluster design; non-PGSQL SQL; applied statistics; generic Data Science, modeling, and general clustering;AWS data lake products incl Glue, Athena, EMR, and the underlying S3 and EC2 primitives; R visualization libraries (ggplot).Strong Competencies: Apache Airflow; bash scripting; generic Machine Learning; Scrum;generic AWS; python visualization libraries (matplotlib, plotnine).I also bring non-technical skills, such as agendaing and running effective meetings, being helpful to colleagues and building a departmental or company culture, leading adoption of new tech or tooling including actively integrating new tools into existing processes (eg moving a regular office conversation into a dedicated slack "#lunch" channel to speed adoption of Slack). I'm genuinely curious and ask good questions. My writing is a bit overlong but still clear.