Ian Thomas Email & Phone Number

Remote

Building and orchestrating a modern data stack comprised of best-in-class Extract, Load and Transform (ELT) components, supplying our Data Lake House;Building, as well as providing expert guidance on how to build, data-driven products leveraging our data stack.

Designed and implemented the following solutions: Python libraries that facilitated API Authentication; interacting with MS Graph; Application Configuration and auto-generation of Data Classes from MS Graph JSON schema exemplars; Stateless Azure Function App products; The foundations for a complete CICD pipeline leveraging GitHub Actions Workflows.

Buffalo, New York, United States

Designed and implemented the following software:• On-prem Elastic Stack on-boarding automation microservice: provided Kibana credentials, Kibana Space, Elasticsearch index pattern; and custom Filebeat and Metricbeat configuration files;• JPA implementation-agnostic Spring Boot Persistence starter library that provided a lightweight testing database, audit abilities, and configuration driven soft-delete functionality that leveraged the Reflection API and programmatically generated source code compiled and loaded at run-time;• Spring Boot Metrics starter library to facilitate transmittal of application run-time metrics to Elastic Stack that provided customer Spring Actuator endpoint functionality that interfaced seamlessly with the Metricbeat HTTP module;• Java development environment setup automation script to streamline on-boarding;Collaborated on the design and implementation of an ACME protocol-like SSL certificate lifecycle Spring microservice and client library, that leveraged KeyFactor and Azure Key Vault in order to automate the issuance and revocation of certificates, as well as the validation of certificates;Initiated, led, and completed the design, implementation and documentation of the organization's internal use of Docker Desktop on WSL2 on VMWare VMs to facilitate cloud-native application development;Led or coordinated multiple agile swim lanes and mentored junior developers;

Designed and implemented Python-driven Big Data applications on an Agile team leveraging Hive, Impala, Apache Spark and Bash;Developed Python framework that de-normalized nested ACH file format data: refining that data by identifying, logging and removing inconsistent data during ingestion;Completed Python-driven data quality detection and remediation application that leveraged Oracle and the IRS Online Bulk TIN Match program;Completed extensive multi-data vendor analysis that required designing a framework to incorporate disparate pricing models and non-uniform outputs, resulting in a coherent cost model and normalized output across all vendors, culminating with a presentation with recommendations to management;

Buffalo, New York

Designed and implemented numerous Python-driven ETL applications that leveraged Oracle, Teradata, Hive, Impala and Pandas;Product owner for web-based production MDM frontend made production-ready in months;Taught employees how to leverage Python for data analysis, test automation, process automation, and reporting;

Buffalo, Ny

Established organization-wide, best-in-class data analysis capabilities by expanding the types of processes the organization was able to perform in-house, from simply data exploration, to data retrieval, preparation, exploration and presentation;Pioneered the use of Infrastructure as a Service (IaaS) to access the legal industry's leading data analysis platform - eliminating both hardware and full-time administrator costs, while retaining complete access to the platform and allowing the full access cost to be passed through to clients;Extended the functionality of existing third-party software through integration with other third-party and custom-built software allowing our clients to realize an average of 15% savings in data analysis costs on large volume data analysis projects;Designed and implemented software to perform the following functions: • Statistical analysis of myriad metadata associated with, and extracted from, large volumes of documents; • Extraction, transformation and loading (ETL) of data matching complex criteria from both binary and text-based data stores to enable further analysis via a browser-based interface;Comprehensively managed third-party vendor relationships including, but not limited to, defining vendor selection criteria and ongoing performance metrics, negotiating pricing and identifying points of collaboration;Trained attorneys and paralegals to better incorporate and optimize the use of software in their workflows, resulting in increased productivity;Researched new technologies, participated in online forums, and attended conferences in order to stay current with the latest industry technologies including supervised and unsupervised machine learning assisted data review;

Buffalo/Niagara, New York Area

Designed and implemented software to perform the following functions: • Facilitate the export and conversion of voluminous document metadata via a deficiently documented jRuby API into a format compatible with our client’s data analysis system; • Verify the completeness and correctness of structured data received from third-parties;

Buffalo/Niagara, New York Area

Designed and implemented software to perform the following functions:• Cataloging and cost analysis of the firm’s legal research publication subscriptions - features included: search, custom sorting and custom cost reports - all via a graphical interface;• Identification, extraction and tabulation of relevant evidence from large volumes of documents for the purpose of calculating damages;Provided expert guidance on decisions where both legal and technology issues were intertwined; e.g., choice of intra-firm e-mail archival system to facilitate compliance with information governance requirements, and smart phone selection based on typical attorney usage patterns;

Bachelor Of Arts (B.A.), Computer Science

Master'S Of Environmental Law And Policy

Doctor Of Law (J.D.)