I'm a data engineer who builds the platform your data lives in, so your team stops waiting on reports and starts asking questions. Whether you need a warehouse stood up from scratch, dbt models on the Snowflake or Databricks you already run, or data pulled out of a legacy system nobody wants to touch, I can help. What I build: - Warehouses on Snowflake, Databricks, or Postgres, plus the ingestion to fill them - dbt models and a semantic layer, so a metric means one thing everywhere - Pipelines and orchestration in Python, SQL, and Dagster - Contracts, tests, and lineage written as I build, so the numbers hold up - Integrations with legacy and undocumented systems, including old MySQL and PHP apps - Reporting your team actually opens on a Monday, in Power BI or the BI tool you use - AI agents on top of the platform, scored against real questions with known answers Background: years of data engineering at companies like CNN and Whatnot. I now run Wide Open Tech, where we operate the production software behind ShelfGenie and 101 Mobility, two national franchise networks used daily by 500+ operators across the US and Canada. How I work: plan, build, review, ship, the same way every project. You approve the plan before I write code and the merge before it ships. Everything is deployed in your own cloud, on your own stack, and it stays yours. Full project management from start to finish. I keep communication regular and direct, so you always know where things stand.

I turn messy data into systems people can rely on. Six years building warehouses and pipelines for a bank, now taking on selected projects here. What I can do for you: Build pipelines that survive contact with reality. Incremental loads, correct backfills, no silent duplicates when a source resends the same records. Airflow, dbt, Python. Design a warehouse or a data mart from scratch. I built one covering 7.6 million companies with 112 attributes, assembled from around 60 separate sources, and I keep it running daily. Make slow queries fast. I read execution plans instead of guessing. Partitioning, storage format, join order, indexes. Cut storage cost. On one project I moved 1.6 TB of rarely used data out of an expensive warehouse into Parquet, where it now takes 43 GB. Get data out of anywhere. Public registries, websites, APIs, and other people's databases: MySQL, MS SQL, MongoDB. Build internal tools your team will actually use. I made a Streamlit app where a sales team builds its own queries against the warehouse, enriches spreadsheets and submits requests with validation, running in Kubernetes with proper auth and releases. Stack: SQL, Python, Oracle, PostgreSQL, Greenplum, ClickHouse, DuckDB, Airflow, dbt, Debezium CDC, Pentaho, StreamSets, Docker, Kubernetes, Parquet, S3. Tell me what you are trying to build and I will say honestly whether I am the right person for it.

I am currently working as a senior software engineer for Game Theory. I love to try and explore new fields and technologies in every way possible.

Ruby on Rails backend developer with 4+ years of backend and 7+ years in IT overall. Specializing in REST API development, third-party integrations, and performance optimization. Experienced across the full development lifecycle: from architecture to production. Actively using agentic AI workflows (Claude Code) to accelerate delivery. Most recently at a cloud contact center SaaS, building billing systems, partner APIs, and VoIP integrations on a microservice architecture. Previously worked on e-learning platforms, marketplace integrations, and automation tooling.

Senior .NET Backend Engineer I help FinTech and enterprise teams build backend systems that can actually handle regulation, scale, and security pressure without falling apart. Tech stack: C#, .NET Core, ASP.NET Core, Entity Framework, Dapper, SQL Server, ClickHouse, RabbitMQ, Keycloak, Microsoft Entra ID, OAuth2/OIDC, Docker, Azure, Cursor & Claude Code (AI-assisted development). For the past 6+ years I've worked inside international remote teams (Vienna, London) building things that matter when they break: payment pipelines, identity & access management (Keycloak, Microsoft Entra ID, custom SSO), and crypto wallet integrations (Fireblocks MPC) where there's zero room for "it usually works." What I'm good at: Turning messy legacy monoliths into clean, modular architectures (Vertical Slice, DDD) — without stopping the business to do it Designing IAM and SSO setups that secure multi-tenant platforms without slowing teams down. Building audit and compliance logging that passes external EU regulatory audits, not just internal checks Async, event-driven backends (RabbitMQ, retry/DLQ handling) that don't quietly lose messages under load I also work daily with AI-assisted development (Cursor, Claude Code, Copilot), which means I move fast without cutting corners on architecture or code quality. If you need someone who can own a backend system end-to-end — design, build, harden, and explain clearly in English the whole way — let's talk.

My name is zemi is a [professional title] at [current employer] with [length of experience] helping [target audience] with [audience’s problems]. Specializing in [area of expertise], [first name] uses that experience to [describe most important aspects of the job].

I turn messy data, unclear requirements, and complex product ideas into software that works and that people can actually use. 20+ years across principal engineering, founding, CTO/CPO roles, and hands-on implementation. I work mostly on data-heavy systems: search, APIs, analytics, pipelines, backend platforms, AI-enabled workflows, and products where the technical shape is not obvious yet. I'm a systems engineer at heart, but I also bring product judgment and a feel for UX. I care about what should be built and how it gets used, not just the implementation underneath. The work I do best usually starts in one of two places. Sometimes it is a new product, feature, or technical direction where the business goal is clear but the system still needs to be figured out. A product idea that needs a real architecture. A data-heavy feature that needs the right model. An AI or search workflow that sounds useful, but still needs to be grounded in actual data, APIs, and user behavior. Other times it is an existing system that has started showing that its original design no longer fits. Data that fights the schema. Search that returns noise. RAG you cannot trust. Analytics that time out. APIs whose contracts have become unclear. A backend that started simple and outgrew its original design. In both cases, I help teams shape the requirements, make the tradeoffs explicit, design the system, and build the critical pieces. I am not useful only after everything has already been specified. I am often most useful before that point. Typical work: - Data-heavy backend systems, APIs, and internal platforms - Search, retrieval, Elasticsearch/OpenSearch, and knowledge systems - AI features connected to real business data and workflows - Data pipelines, analytics infrastructure, ClickHouse/PostgreSQL systems - Requirements shaping, technical direction, and production-minded implementation I care about how the thing gets used. Product flow, UX, API design, developer experience, observability, and operational simplicity all matter. Correct code can still fail in practice if the workflow is awkward, the data model is wrong, or nobody can understand the system after it ships. Part of the value is seeing how the pieces connect across product, UX, data, architecture, and operations and catching the problems that sit between those areas before they ship. If you have a business problem, constraints, and an outcome in mind, let's talk about the shape of the system and get the core pieces built.

I help businesses turn messy, repetitive data tasks into clean, automated, and easy-to-use reporting systems. I specialize in Excel, Power Query, SQL, data cleaning, reporting, and business analytics

Striving to get involved with greater challenges to improve my professional skills and ability Skills * Server Side Scripting: PHP, JSP, MTA (Python), Django, MEAN Stack. * Client Side Scripting: JavaScript , JQuery, Prototype JS, Lightbox, Fancybox, Highslide, jBox, amCharts, Highcharts. * Desktop Programming: C/C++, JAVA. * Databases: MySQL, Cassandra, PostgreSQL, ClickHouse,MongoDB and Elasticsearch. * CMS / Tools: CakePHP, CodeIgniter(Pyrocms), Joomla, Drupal, SugarCRM, Smarty, ZenCart, oscommerce , SOAP web Services, APTANA with Ubuntu, WAMP, LAMP and XAMP, Tomcat 9 . * Payment Gateways: Link Point, Authorize.net(CIM,ARB), pay pal (ipn, do direct, mass payment), Google checkout. * BI Tool: Superset 1.x with ClickHouse, Kibana with Elasticsearch (ELK Stack). Professional Experience: I have over fifteen years of experience in PHP/MYQL, PHP/SQL Server

I help teams diagnose, stabilize, and scale Python backends and AI-agent platforms. My recent work includes owning a production Django/Celery platform, shipping LangGraph agents, running multi-region AWS infrastructure, and leading up to 15 engineers. Earlier, I designed attribution services sustaining more than 200k requests per second, built Kafka/ClickHouse data pipelines, and reduced AWS spend by about 30% through ARM migration and right-sizing. I am strongest in Python, Django, FastAPI, PostgreSQL, ClickHouse, Kafka, Celery, RabbitMQ, Redis, AWS, Terraform, Kubernetes, and production LLM-agent workflows. I can join for a focused diagnostic, code or architecture review, incident recovery, performance investigation, or a short implementation sprint. I communicate directly, document findings, and leave teams with a prioritized plan they can execute. Available for focused 24–72 hour engagements: • Python/Django/FastAPI production diagnosis and recovery • LangGraph or LLM-agent reliability review • PostgreSQL/ClickHouse/Kafka performance triage • AWS cost, reliability, and deployment review • Architecture and code review for a critical release You will receive concrete findings, an ordered remediation plan, and clearly scoped implementation options. I only take work where I can be useful quickly.