David Shere Email & Phone Number

San Francisco, Ca

Lead Engineer responsible for setting direction and priorities of the team in the context of and in collaboration with the rest of our organization. Focused on minimizing delivering nonlinear value while minimizing time-to-value with an emphasis on reliability and scalability.Some tools I work with: Python, Spark, Scala, AWS, Docker, Terraform, Databricks, Airflow,, Parquet, GCP, telegraf, grafana, Prometheus, GitLab, R, EMR and Glue, DjangoAs an engineering leader at Nuna I work across our platform organization to make sure we're delivering the right data to the right users at the right time. Along with my team I support analysts and engineers in using the latest tools to deliver the most value to our customers.Our data platform has to support ingesting, cleaning, QAing, enriching and exporting data to and from a wide range of places. A few of the tools I use and things I've done at Nuna:Developed an API to execute and serve generic financial calculations for a web frontend and determine payment levels for multi-million dollar contracts.I led the design and development of a runtime configuration system for flexible, generic product data pipelinesDesigned and built the foundation of a notebook-based analytic workflow for analysts and data scientists to write production code.Mentored Data Scientists on engineering best practices and helped them deliver production-quality Spark and ScalaI've also:I maintain and write new features for our data quality tooling (Spark/Scala)I identified a persistent issue with our build process and developed and implemented a testing strategy to eliminate an entire category of CI failures (Jenkins, Harbormaster).I build and maintain services on AWS (EC2, S3, SQS, EMR, RDS, CloudFormation, IAM)I've been on the founding engineering team for a new product, helping to define the data models and processes that will power the future of the company (Protocol Buffers, Scala).

Greater New York City Area

● Wrote new data pipelines in Airflow/Redshift stack and migrated old pipelines from legacy Luigi/MySQL architecture.● Contributed to internal Data Engineering frameworks, improving tooling for the rest of the team.● Supported analytics, research and marketing teams with query development, code review, and new ETL work.● Addressed urgent data and system issues that arose during business hours, and 24 hours a day via PagerDuty during on-call rotations.● Maintained the features I built and contributed to the maintenance of my team’s systems and services.

Brooklyn, New York

My work on the campaign focused on scaling our analytics efforts. I worked closely with analysts to understand their problems and their workflows, then identify and implement improvements. I've built custom automated reporting solutions and data pipelines that are replacing the work of more than one full-time employee, while organizing and collecting data in a way to extract far more value from it.I've also greatly improved some of our mission-critical processes, giving the campaign's leadership far deeper insight into our work across analytics and communications.Key tools on the job are Vertica, PostgreSQL, Flask, Docker, S3, Hive/EMR, Python, R Markdown, Shiny, Google APIs, and other media APIs.

San Francisco Bay Area

Optimizely has built a best-in-class platform that enables businesses of all sizes to bring the power of data to their decision-making. As a product and data analyst my job was to do the exact same thing for Optimizely. On the Product team I worked closely with Product Managers and Engineers to make sure product owners have the most accurate, actionable data they need to make the best decisions for our business and our customers. I also worked with our Data Science team to serve as a resource throughout the company for analytics and insights.Some of what I did at Optimizely:* Become an expert in our data ecosystem. Knowing what data we have, what we don't have, how to use it properly, what it means, and very importantly, what it doesn't mean.* Solve the 80/20 problem for data scientists. That means building and managing curated tables on top of our data warehouse, so scientists and analysts can focus on building the models that drive our business without wasting time on finding and cleaning data from our vast warehouse.* Develop and prototype processes on top of our data warehouse to make the most of our data. For example, working with Technical Support Representative to parse snippets of JavaScript into a set of features we could use to understand the experiments our customers are running.* Build useful analytics products and systems. Translating the needs, questions, and curiosities of product owners into proper data collection, data pipelines, and SQL/Hive queries, and dashboards.* Develop processes to make sure that we're building products and features that are conducive to analytics.* Productionize analyses by designing and implementing new tables and stored procedures in our PostgreSQL data warehouse. * Productionze analyses by designing, implementing, scheduling and maintaining jobs in our Hadoop ecosystem.

San Francisco Bay Area

• Coded Python scripts to automate marketing tasks and analyze customer data• Developed benchmarks and projections for holiday sales using BI tools (Looker) and R• Analyzed sales figures, identifying the source of a drop off in sales and planning optimization tactics• Wrote, deployed, and analyzed user surveys to understand customer behavior and improve customer satisfaction• Planned and executed A/B tests to increase customer retention and engagement through email and push notifications• Researched and developed assets for paid Facebook marketing including targeting, art and copy• Managed brand social media driving increased engagement and a 60 percent annual increase in page likes• Analyzed social media performance, deriving lessons and successfully implementing insights• Developed expertise in using BI software in marketing, customer service, and other contexts• Provided excellent customer service and outreach via phone, email, and social media

Washington, Dc

Nonprofit progressive media research and information center. As a researcher I was responsible for monitoring conservative media, identifying inaccurate or misleading information, finding reliable sources with which to respond, and writing research items and blog posts for publication on our website.

In my capacity as an intern I assisted our Press Secretary and New Media Specialist by conducting media monitoring and compiling daily clips as well as working with Excel and PowerPoint to create compelling charts and data visualizations.

As the Federal Budget and Tax intern at CBPP I worked with researchers and senior staffers to produce high quality and relevant economic policy research. I used a variety of research methods and statistical analysis techniques to study, analyze, and write about economic policy problems. This research included conducting literature reviews, utilizing official data sources, and attending and reporting on congressional hearings. I learned a tremendous amount about policy analysis and the policy process, as well as how outside groups can influence legislative outcomes in positive and effective ways.

At Treasury I had the pleasure of interning with the Office of Economic Policy. I attended congressional hearings and think tank lectures, reporting back and sending my reports around the office. I worked with Treasury staffers and political appointees on projects as needed. I started at Treasury during the most acute phase of the financial crisis and saw first hand part of how the Department handled it.

As an Associate Tester I was responsible for producing IEEE compliant testing documents and carrying out the tests. I worked in a team to design and carry out a testing program for the firmware on an electromechanical device (an electric lock).

Bachelor Of Arts (B.A.), Economics

Economics B.A; B.A, Politics

Activities and Societies: KZSC, UCDC, Study Abroad: Turkey, Leviathan Journal