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Dana Kaplan

12+ Years of Data and Analytics experience - Looking for a remote Data/Analytics Engineering Role.

Dana Kaplan is an experienced data analyst, engineer, and scientist with a broad range of skills and expertise. Her coursework in Mathematics and Economics, combined with her Hoodie of Academic Achievement in Machine Learning & Data Science at Galvanize have given her a strong foundation in using technology and data insights to improve business operations. In her professional career, Dana has worked in various data-heavy roles with companies such as Komodo Health, Good Money, Mosaic, CircleUp, Augment, Scribd, Triggit, and Mediasmith. She has experience with data warehousing, SQL/HiveQL, data visualization, user profiling, clustering, and retention modeling, product feature testing, behavioral data mining, and forecasting. Kaplan has also worked on creating dashboards and periodic reports to empower anyone to explore their own data insights. As an advocate for data evangelism, she is committed to bringing people together to create accessible data insights throughout organizations.

Highlights

Apr 4 · linkedin

Hello Network, It has been more than 6 months since my layoff and this job search/interviewing process has been very difficult in this current climate. I would appreciate any bump y'all can give to this post!

With over 12 years of experience in data engineering and analytics, I've led or contributed to diverse data initiatives within small 20 person start-ups up to petabyte warehouses supporting multiple products and teams. The variety of this work includes: designing fundamental product analytics and experimentation pipelines; implementing resiliency, testing, QA, lineage, modularity and other best engineering practices; analyzing and deploying computational, space, and cost savings among data storage and transformations; designing product analytic schemas, and even building out ML features from product images into production databases. I pride myself on pragmatic solutions, learning quickly, flexibility, and collaborative spirit. I have worked with a range of technologies (Python, Airflow, AWS, Spark, SQL (Snowflake, Redshift, Hive), Dataform/DBT, Terraform, Docker/K8s, etc...) and if you need help in any of those areas - I can be an immediate asset to your team on day #1.

Thank you!

Sep 15 · linkedin

Unfortunately, Komodo Health had to make tough business decisions that affected my Data Engineering team, including my role. We accomplished so much great work on our Canonical Data Product in my time at Komodo. I'm especially proud of some incredibly ambitious initiatives this spring and summer to bring our warehousing and processing costs down while having higher quality data available for other teams and a faster feedback loop with product needs.

If you know of any data processing work involving Python, AWS, Spark, Airflow, Big distributed SQL warehouses (Redshift, Snowflake, etc...) and similiar - I can be an immediate asset to your team on day 1. Outside of that, I have learned so much in my 13 year data career so far and hope to learn even more in this lay off period and my next role!

#OpenToWork

Related Questions

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Dana Kaplan
Dana Kaplan, photo 1
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Location

San Francisco, California, United States