Jonathon Long Email & Phone Number

Boston, Ma, Us

Cambridge, Massachusetts, Us

Perceptive Automata shut down at end of June 2022 and I decided to take some time off after two years, two start-ups, two shutdowns.* Camping / hiking trips to New Hampshire, Vermont, and Maine* Catching up on continuing education desires - ACloudGuru's Kubernetes Essentials, Kubernetes Deep Dive, and updated parts of AWS Certified Solutions Architect Associate training* General rest and relaxation

Boston, Ma, Us

Led effort to convert manual, semi-automated and error-prone processing of driving videos to a scalable, fully automated, fault-tolerant cloud-based solution based on Airflow, AWS Batch, ECS, EFS, RDS, and Docker, with built-in alerting to Slack when processing failedDesigned scalable event-driven automation to process driving data using AWS S3 events, SQS, CloudWatch Metrics, ECS, and auto-scaling groupsIdentified and implemented S3 cost savings of $36k / year using storage class lifecycle rulesDesigned S3-based cloud data warehouse to store and enrich drive and perception modeling data in order to build a Delta Lake based analytics store, which allowed the Data Research team to query millions of pedestrian tracks on various features, such as distance to vehicle, distance to crosswalk, number of frame detections, and more. Improved ability to query pedestrians across all of our data and reduced likelihood of repeating costly calculations.Managed hiring efforts for Data Platform team, identifying skill gaps within team, reviewing candidate resumes, and interviewing dozens of potential candidates.Managed 2-3 direct reports, which included regular 1-on-1s, annual reviews, onboarding and training, creation of and tracking of personal development goals, and addressing team conflicts Managed major projects using JIRA and Agile methodologies, leading sprint planning, backlog grooming, sprint review, and sprint retrospectiveGeneral administration of AWS account and primary liaison with AWS Account Manager

Analyzed and implemented latency statistics for radar data ingestion in ASTERIX format across several stages (UDP, HTTP to API Gateway / AWS Lambda, to Kafka broker, to Java microservice) in order to identify processing bottlenecks, benchmarks and determine feasibility of use for detect-and-avoid operations.Part of team to migrate existing cloud infrastructure from commercial AWS region to AWS GovCloud in order to maintain compliance with FAA regulations. Responsible for migration of production ELK stack and data, S3 buckets and data, AWS Managed Kafka, and IAM roles and policies related to logging infrastructure. Assisted with Postgres database migration, VPC creation and troubleshooting of security groups and NACLs, Route 53 domain creation, and other necessary IAM roles and policies. Identified potential cost savings of up to 90% for usage of Mapbox’s services by stopping unnecessary data processing, preventing unnecessary re-uploads of data, and allowing for configurable processing levels by environment. Analyzed potential customer impact of reducing map accuracy for cost savings.Developed Python code for submitting flight plans and telemetry data from MAVLink protocol to AiRXOS Air Mobility Platform. Create CI/CD pipeline using Github Actions to run tests and submit test coverage to Sonarqube, and create Windows installer and upload to S3 for distribution.Assisted teams with Postgres query optimizations, table indexing, and table architecture.Selected to be part of a scaled down wind-down / transition team in order to provide technical documentation and perform due diligence in case of offers, maintain operations during wind-down, and assist with close of business.

Designed and implemented generic ETL pipeline in AWS Data Pipeline using a combination of custom MapReduce jobs, Hive, and Presto to ingest multiple third-party data sources and convert to Parquet data formatImplemented automated QA and validation of both raw and transformed data, storing results in PostgresWrote MapReduce job to write millions of records to DynamoDB in parallelResponsible for AWS infrastructure needs, knowledgeable in S3, EC2, RDS, VPC, IAM, Redshift, EMR, CloudFormation, etc. Designed and wrote Python code to perform data appends in AWS Redshift for data science needsWrote PySpark code, including UDF, to implement data science models

Developing automated processes in Oracle using PL/SQL to rapidly process and analyze data in the non-profit industry, assisting in the creation of products to help serve those non-profits in their fundraising efforts. Creating reports in SSRS for data visualization for both internal reports and external products.

Cambridge, Ma, Us