Data engineers

AI/ML Engineer with 3+ years of experience building and deploying machine learning and NLP solutions using Python and deep learning frameworks. Focuses on production ML pipelines and deployments, including LLM-based RAG workflows, semantic search, and model monitoring using MLflow and Docker.

AI- and data-focused engineer with experience building dashboards and analytics for telecommunications operations. Completed bachelor and master final projects involving predictive modeling and digital twin concepts, plus risk/data pipelines using Python and related tooling. Familiar with machine learning and data processing workflows supported by hands-on project work.

Senior Technical Analyst/Analytics Engineer with 5+ years of experience leading IT work and delivering technical analysis for business-critical solutions. Hands-on experience across incident/change workflows with ServiceNow, BI and analytics with Power BI, and data workflow orchestration with Airflow. Delivered integration-focused projects including REST APIs, reporting dashboards, and GDPR-aware automation.

Full Stack developer with 7 years of experience building and deploying web platforms. Worked across React/Next.js and Angular with Node.js and ASP.NET Core, including REST APIs, SSR, and CMS integrations. Delivered production AI features such as LLM-powered chatbots and TensorFlow-based recommendation systems, and also contributed data engineering pipelines using Spark/Scala/Python with Kibana monitoring.

Backend engineer (mid-level) with a focus on data pipelines and client-side data engineering; strongest at shipping deterministic pre-aggregation pipelines and compact client encodings.

Senior QA automation and quality engineering professional with 13+ years of experience in test strategy, automation framework development, and enterprise quality assurance in regulated domains. Hands-on experience includes Playwright automation with TypeScript/JavaScript, API and integration testing, and end-to-end validation integrated into CI/CD pipelines. Recent work also covers AI-assisted testing approaches for GenAI and RAG-based workflows.

Power BI developer with 6 years of experience delivering business intelligence dashboards and reporting solutions using Power BI and SQL. Experienced with advanced DAX, Power Query transformations, dimensional modeling, and KPI/SLA reporting, including deployment and migration workflows. Has worked with Snowflake, Microsoft Fabric, and automation/integration using Power Automate and Power Apps across healthcare, insurance, reinsurance, and finance reporting.

Senior Site Reliability Engineer focused on automating, monitoring, and securing AWS infrastructure for financial-market systems. Builds Infrastructure as Code with Terraform/CloudFormation, implements CI/CD automation with GitLab, and delivers disaster recovery and compliance workflows using AWS and Power Platform.

Data & BI Architect with 15+ years of experience delivering enterprise analytics, executive reporting, and governed data modeling. Hands-on work includes Snowflake SQL development, dashboard and KPI delivery, data pipeline optimization, and stakeholder-facing BI requirements across telecom and financial-services environments.

Senior DevOps/SRE engineer with 12+ years of IT experience and 9+ years focused on AWS, cloud infrastructure, Kubernetes, and CI/CD automation. Works on production reliability and observability using Prometheus, Grafana, Loki, and CloudWatch, with strong DevSecOps pipeline security integration. Has hands-on MLOps experience including MLflow tracking/registry, Feast feature management, and deploying inference services on Kubernetes.

Data Engineer with 4.5 years of experience building scalable ETL and cloud data pipelines. Hands-on work with Python, SQL, PySpark/Apache Spark, AWS services (including S3, Lambda, Athena, and Kafka), and workflow orchestration with Apache Airflow. Also has experience with Azure data tooling (Azure Data Factory and Databricks) and infrastructure automation using Terraform and CI/CD.

Cloud and DevOps leader with 15+ years of experience designing enterprise AWS platforms, building CI/CD pipelines, and delivering infrastructure automation using Terraform and Kubernetes. Worked on serverless, event-driven AWS solutions and DevSecOps implementations for secure software delivery. Also has earlier experience in Java application development and Hadoop-based big data analysis.

IT professional with 16+ years of experience focused on software architecture, platform engineering, and DevSecOps practices. Has led end-to-end delivery across SDLC and Agile-style execution, with extensive work using Java, microservices, CI/CD, and cloud platforms (AWS, Azure, and GCP). Also has hands-on experience delivering enterprise AI/ML capabilities including LLM and RAG-based solutions, plus related MLOps/LLMOps practices.

BI and data professional with 14+ years of experience delivering reporting and analytics solutions, including dashboard development, data modeling, and data pipeline support. Experienced with Snowflake data platform, Airflow workflow orchestration, and Python-based automation and data processing. Strong background in Qlik Sense/QlikView, Power BI, Tableau, and SQL-focused reporting and production support.

Engineering leader with 13+ years of experience building and scaling financial payment authorization and issuing systems, including cloud-native distributed architectures. Currently leads 15 engineers across high-availability payment services, technical strategy and architecture governance, and engineer development. Previously delivered core banking modules for financial institutions and developed real-time trading platform services using AWS and backend frameworks.

Azure Data Engineer with 7+ years of experience building scalable cloud data engineering and ETL/ELT solutions. Strong in Azure Data Factory and Databricks, including Delta Lake/Delta Live Tables-style pipeline patterns, medallion-layer data modeling, PySpark and SQL transformations, and enterprise data migrations to Azure. Experienced in CI/CD-enabled deployments, metadata onboarding and data governance, and production support including incident investigation and operational documentation.

Azure Data Engineer with 3+ years of experience building and optimizing data pipelines and Lakehouse solutions on Microsoft Azure. Hands-on work includes Azure Databricks, PySpark, Azure Data Factory, Delta Lake and SQL, with emphasis on incremental loading, CDC and Spark performance tuning.

Data Engineer (Middle) specializing in production-style data warehouse and ETL pipelines with an emphasis on correctness and validation. The strongest proven skill is building validated ETL and BI-ready warehouse pipelines, as shown by the standardization, fact and mart build scripts and the automated data-quality execution (examples: src/retailiq/warehouse/standardize_remaining.py, src/retailiq/warehouse/build_fact_orders.py, src/retailiq/quality/run_data_quality.py). There is no public evidence of machine learning model development, custom training loops, advanced efficiency engineering or ML lifecycle tooling.

Backend-focused developer (middle level) with a practical strength in building small-to-medium JVM-based data-backed applications. The strongest proven skill is database-driven application wiring and JDBC-based DAO implementation as shown in StudySync-Pro/src/main/java/com/studyplatform/dao/StudyPlanDAO.java which includes table creation, prepared statements, generated keys handling and transaction rollback. There is limited evidence of production-grade API versioning, auth flows, formal migration chains, caches, or distributed systems design in public code.

Full Stack and AI engineer with experience building production backends, web platforms, and cloud infrastructure. Built multi-agent LLM workflows for an OCR-based healthcare solution and supported asynchronous processing for enterprise client environments. Also developed end-to-end features for a pediatric consultation platform, including backend services, integrations, and AWS-based deployments.