Leading global data and engineering teams (Europe 60%, US 20%, Asia 20%) to build an ecommerce ops and analytics platform for Branded, an aggregator of successful Amazon sellers. Branded has built a portfolio of over 30 amazing brands and has quickly become a Top 20 Seller on Amazon. Some of the highlights so far:- Incredible growth by a team of analysts to upskill on the modern data stack (dbt, Fivetran, Airbyte, BigQuery, Airflow, GCP), and software dev best practices. The team effectively manages ~500 dbt models in the finance, sales, advertising, and supply chain domains and deploys to production multiple times a day.- Robust data operations to ingest data from Amazon Seller Partner API (SP-API), Amazon Advertising API, Rainforest API, JungleScout API, Helium10 using Airflow and Dataflow data pipelines. Implemented data observability, tests and alerting mechanisms to minimize MTTR (mean time to restore service).- Reusable and modular framework to consolidate 20+ Shopify ecommerce sites, simplifying the maintenance, campaign management and rollout of new features. The team adopted best practices of software engineering including version control, code review process, and deployment process.- Amazon PPC advertising spend optimization model improves product organic sales rank while saving millions in ad costs.

Leading an engineering team of front-end and back-end/data developers. Our product powers the Digital Performance Benchmarking research at Gartner. We build applications and pipelines that ingest data from multiple vendors and in-house data collection systems, clean/monitor/normalize/enrich it, and deliver the analytics ready datasets.My responsibilities include setting the technical vision to support the business and overseeing hiring, career growth and performance management, mentoring developers, holding 1:1s, and improving agile and development processes.During my tenure I enabled and guided the team on the following initiatives:-Automation of Digital IQ dataset production, consolidating data from 12 different data sources, and replacing a manual Excel heavy process-Delivery of an application for manual data collection tasks that improves on speed and quality of the collected data by supporting a rigorous workflow management (integrating with JIRA) and operational metrics reporting-Migration of data warehouse database from Redshift to Snowflake to enable scaling to different workloads (data transformation, data science and reporting)-Introduction of DBT as the principal tool for managing complex data transformations, following proven engineering practices for source control, testing, and deployment-Migration of the ingested data storage from Postgres to S3 data-lake to support scaling and data lifecycle-Roll out of a Kubernetes cluster (EKS) to unify operations for jobs, applications, and CI/CD-Continuous improvement on software development practices, such as version control of database changes, unit testing, multi-environments, and code quality toolsI tend to stay very hands-on, solutioning, leading architecture and code reviews, debugging outages, and contributing code. Recently I re-engineered the pipeline for one of our xTB sized datasets, modeling data and implementing loading, cleaning, and transformation for analysis and dashboards.

Analyzed dataset for 2016 PhysioNet/CinC Challenge “Classification of Heart Sound Recordings”- EDA for the heart sound phase durations- Audio sound wave processing using a filterbank of Morlet wavelets, DFT, peak detection, heart rate detection, pseudo-periodic signal estimation, dynamic time warping. Python, numpy, scipy- Developed an algorithm to align heartbeat sound into a periodic signal and calculate a base heartbeat template- Developed pytorch real-time audio pre-processing module using Constant-Q filterbank, integrated libtorch (C++) with iPhone Core Audio and React Native to build a mobile app to record and visualize heart sounds using built-in microphone. JavaScript, Objective-C, C++- Used Hidden Semi-Markov Model with estimated phase durations and Viterbi decoding to segment heart sound phases, implementation in pytorch

Spearheading new product development, specializing in full-stack JavaScript, React.js/Redux/node.js.Migrating existing applications to the new modern front-end architectures.Architecture review and training existing teams on React.js, surrounding ecosystem and modern JavaScript practices.Project: Bloomberg KYC (Know Your Customer) Entity Exchangehttps://www.bloomberg.com/professional/product/entity-exchange/Senior full stack engineer (JavaScript, React/Reflux/Node) on a large agile team. Setup continuous integration/delivery pipeline (Docker/Jenkins/OpenStack/Terraform), Wrote a library to convert proprietary service protocol schema to GraphQL. Project: Retailer stores frontend for a SAAS company. Architected and developed a store locator and store pages front-end for the company's retailer store management SAAS product. The solution developed in React.js/Redux JavaScript and consists of a set of components that allow to easily assemble and skin store pages for a new client. The main challenges addresses are: built in flexibility to address unique customer demands in styling, internationalization and SEO (search optimization).LIve: http://www.saksfifthavenue.com/locationsProject: Customer dashboard for http://junction.com. Built a single page JavaScript app using react.js/redux/react-router/webpack. AWS/CloudFront/S3 deployment.- Built node.js express API to provision session information and updates for IoT devices.- Built an internal slack bot to automate common tasks.

http://eventhero.ioReal-time, on-site event management software that works with your favorite registration system.Developed web application and two mobile apps that help event organizers manage the event on-site and event exhibitors to collect leads.Ruby on Rails, MongoDB, Appcelerator Titanium for cross-platform mobile app.

Consultant, Ruby on Rails.Projects:https://www.everplans.com - security and encryption of personally identifiable information in compliance with HIPAA. Incremental data migration to version 2 of of their product. https://www.digitalocean.com/community - implementation of custom content management system for a community site. http://www.brickworksoftware.com/ - developed responsive site for store associates.https://www.buster.com/ - pricing engine.Trovio (iOS app) - developed API for the use by the mobile app delivering business news and information from Factiva API (owned by Dow Jones)

Nexidia provides speech analytics applications and services to mine audio data (call center calls, intelligence streams, legal records, entertainment clips) for business insights.• Led Software Engineering in Test (SEIT) team of five developers responsible for building tests and automation tools for testing company’s flagship product throughout two major releases. The team developed browser automation framework for UI testing, load test execution and reporting application, suite of system tests. C#, ASP.NET, VS 2008, WCF, SQL Server 2008, WatiN.• Build engineering using Perforce, NAnt, continuous integration (Hudson), nightly deployment of latest build (VMWare ESXi). Produced MSI installer with WiX toolkit. Owned configuration management standards and practices.• Developed a real-time call monitoring and audio processing application for call centers. Integrated with Avaya and Cisco telephony API. Java, Spring DI, concurrency, ActiveMQ, ECMA CSTA, JTapi.• Led team of two developers to automate integration tests for the company's core speech analytics API using Fitnesse framework. Tests (in Java) executed nightly (on Win32/64, Linux32/64, MacOS) and dramatically shrunk release cycle, enabled additions and enhancements to key functional areas without regression. Java, Fitnesse, FitLibrary, Windows, Linux, OSX.• Created automatically generated bindings to expose company's core speech analytics C/C++ API to Java and .NET with SWIG. This project removed need to maintain several other hand-written wrappers, unified the API, served as foundation for new products, as well as suite of automated tests. Java, JNI, .NET, SWIG, C++.

Worldwide Application Development Group, New York, NYGrew enterprise application portfolio of new IT department to several business critical applications; involved in all phases from analysis and development to rollout and operational support. Managed offshore development team in India to deliver multiple releases of business critical applications.

Software development consultant

International intern through AIESEC. Learned assembly, operation and testing of VSAT (very small aperture terminal) station. Technical translation to AT&T's partners in Russia.