I’m a 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁. I will help you turn raw data into actionable insights through high-performance data systems, real-time streaming pipelines, automated ELT workflows and AI-powered analytics. 🏆 𝗖𝗼𝗿𝗲 𝘀𝗸𝗶𝗹𝗹𝘀 & 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ✔️GenAI & AI: Oracle Certified Generative AI Professional ✔️Real-Time Streaming: Confluent Certified Data Streaming Engineer (Apache Kafka & Flink) ✔️Databases: MongoDB Certified Associate Developer ✔️Data Platforms: Databricks Certified Platform Architect & Snowflake Data Engineer ✔️Data Modeling: dbt Fundamentals Certified 🛠️ 𝗖𝗼𝗿𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 ✔️Real-Time Pipelines: Apache Kafka, Apache Flink, Spark Streaming ✔️Batch Orchestration & ELT: Apache Airflow, dbt, Azure Data Factory ✔️Cloud Data Warehousing: Snowflake, Azure Synapse Analytics ✔️Big Data Processing: Databricks, Apache Spark ✔️Databases & Programming: Python (Pandas, PySpark), SQL, PostgreSQL, MongoDB ✔️DevOps (IaC & CI/CD): Docker, Terraform, GitHub Actions 🏆 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗼𝗳𝗳𝗲𝗿 ✔️ Professionalism and quality work ✔️ Transparent communication ✔️ Long-term relationship I am detail-oriented, reliable and committed to delivering the results you need. 💬 Message me today to discuss your data project and let’s bring it to life efficiently and reliably.

🎯 Senior Healthcare Integration Engineer | AthenaOne + FHIR + AWS | AI Clinical Analytics With over 7 years of experience building secure, HIPAA-compliant healthcare data platforms, I specialize in EHR integrations, clinical data pipelines, and AI-powered healthcare applications. I focus on AthenaOne, FHIR APIs, secure cloud architecture, and intelligent clinical systems that transform raw medical data into actionable insights. Whether you need robust AthenaOne data extraction, incremental synchronization pipelines, a searchable clinical database, or AI layers for chart summarization and cohort analysis, I deliver production-ready, compliant solutions. ⚡ 𝐂𝐨𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: 1. AthenaOne & EHR Integrations I build secure, reliable connections to AthenaOne using APIs, FHIR, Athena Data View, and HL7 standards for comprehensive clinical data extraction. ◾ Patient demographics, encounters, notes, diagnoses, medications, allergies ◾ Labs, imaging, procedures, orders, documents/attachments ◾ Daily incremental synchronization (new/updated records only) ◾ Secure raw data landing in AWS S3 with audit logging 2. HIPAA-Compliant Data Pipelines & Cloud Architecture I design scalable AWS-based platforms for healthcare data ingestion, storage, and processing with full compliance and monitoring. ◾ AWS S3, Lambda, Glue, ECS/Fargate, RDS, OpenSearch ◾ Incremental ETL pipelines with failure notifications ◾ Data normalization and versioning ◾ Full-text search across patient charts 3. AI-Powered Clinical Intelligence Layer I develop AI applications on top of normalized clinical data for advanced analytics and decision support. ◾ Patient chart summarization and longitudinal timelines ◾ Semantic search across records ◾ Patient cohort identification and treatment outcome analysis ◾ Research query support and clinical insight generation ◾ RAG pipelines with LangChain + healthcare LLMs 4. Secure Integration & Interoperability I implement robust API integrations, webhook handling, and standards-compliant data flows (FHIR, HL7) while maintaining strict security and audit trails. 🏆 Proven at Scale: 👉 Built integrations for multiple US specialty practices and health systems 👉 Delivered HIPAA-compliant platforms handling thousands of daily patient records 👉 Architected AI-enhanced clinical data systems used in active medical practices 👉 Experience with AthenaOne, Epic, Cerner, and other major EHRs 📊 𝐒𝐞𝐥𝐞𝐜𝐭𝐞𝐝 𝐎𝐮𝐭𝐜𝐨𝐦𝐞𝐬 & 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: AthenaOne Integrations: ◾ Designed and deployed daily incremental sync pipelines extracting comprehensive clinical data from AthenaOne into AWS S3 with full audit and monitoring. ◾ Implemented FHIR and Athena Data View connectors for real-time and batch clinical data access. Searchable Clinical Databases: ◾ Built normalized, versioned clinical data lakes with OpenSearch/Elasticsearch for full-text and semantic search across patient histories. AI Clinical Applications: ◾ Developed AI systems for automatic chart summarization, timeline generation, and cohort analysis using secure healthcare LLMs and RAG architectures. ◾ Created treatment outcome analytics and research query interfaces that support clinical decision-making. 🧠 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: ◾ EHR/Integration: AthenaOne APIs, FHIR, HL7, Athena Data View, REST APIs ◾ Cloud: AWS (S3, Lambda, Glue, ECS, OpenSearch, RDS), Terraform, HIPAA controls ◾ AI/ML: LangChain, LangGraph, RAG, OpenAI/Claude/Groq, clinical NLP ◾ Data: Python, SQL, Spark, dbt, incremental ETL, data modeling ◾ Compliance: HIPAA, audit logging, encryption, secure pipelines 🚀 Let’s Build a Secure, AI-Powered AthenaOne Platform Together! 📩 Send me a message with your requirements. I will personally handle the development and provide a clear architecture, timeline, and cost estimate.

Hi there! I'm a data analyst with over 4 years of experience in the field, and I'm excited to bring my skills to your project. As a freelancer with a lot of big data companies - (US Deloitte, AstraZeneca), I have had the opportunity to work on a variety of projects for clients in different industries, including healthcare, finance, and e-commerce. My expertise lies in analyzing large data sets and identifying key insights that can drive business decisions. I have extensive experience working with analytical tools such as SQL, Python, R, Excel, SSIS, Power BI, dbt, and Tableau, and I'm comfortable working with both structured and unstructured data. As a data analyst, I understand the importance of working with large retail superstores such as Justrite Superstore, as they generate a vast amount of data that can be analyzed to gain valuable insights into customer behavior, sales trends, and overall business performance. As the Data Analyst Training Lead at Dataline Analytics and Consulting, I have imparted my expertise in data analytics, Excel, Power BI, and SQL to over 2,000 individuals from different parts of the world. My qualifications include being a Microsoft Certified Trainer (MCT) and a Microsoft Certified Data Analyst Associate, in addition to my extensive work experience. Whether you need help with data cleansing, data modeling, or data visualization, I'm confident that I have the skills and experience to deliver high-quality work on time and within budget. I pride myself on my attention to detail, my ability to communicate complex ideas clearly and concisely, and my commitment to delivering work that exceeds my client's expectations. So if you're looking for a data analyst who can help you unlock the value of your data, look no further. Let's work together to turn your data into actionable insights and drive your business forward!

I am a Data Engineer with a strong background in Python development, data processing, and automation. I specialize in building efficient ETL/ELT pipelines, managing data workflows, and transforming raw data into clean, structured datasets ready for analytics and machine learning.My Core Technical Stack & Expertise:Languages: Python (Pandas, NumPy, Pytest, SQLAlchemy)Data Pipelines & Orchestration: Designing and automating workflows using Apache AirflowDatabases & SQL: Advanced SQL querying, data modeling, database optimization (PostgreSQL, MySQL)Data Transformation: Building robust data models and documentation using dbt (Data Build Tool)Automation: Scripting, Web Scraping, API integrations, and process optimizationI have hands-on experience in data engineering practices, including data cleaning, preprocessing, validation, and schema design. My background in ML and analytics allows me to deeply understand the downstream data needs of data scientists and business analysts, ensuring the delivery of high-quality data products.I take communication seriously and always make sure I fully understand the client's goals and architecture requirements before starting. I deliver clean, well-documented, production-ready code and consistently meet deadlines. Looking forward to engineering scalable data solutions for your project!

At HavarTech Solutions we empower Businesses to unlock the true potential of their data, transforming raw information into actionable insights and strategic advantages. As a leading provider of comprehensive data science solutions, we specialize in delivering cutting-edge services that drive innovation, optimize operations and foster sustainable growth. Our Expertise: Data Science & Advanced Analytics: From predictive modeling and statistical analysis to deep learning and natural language processing, we uncover hidden patterns and forecast future trends, enabling data-driven decision-making. We help you understand why things are happening and what is likely to happen next. Data Analytics & Business Intelligence: We design and implement robust analytical frameworks and intuitive dashboards that provide clear, real-time visibility into your key performance indicators. Turn complex data into easily digestible insights that empower every level of your organization. Data Engineering & Pipeline Fusion: We build scalable, robust, and efficient data architectures. From data ingestion and warehousing to ETL/ELT processes and data lake solutions, we ensure your data is clean, accessible, and ready for analysis, seamlessly integrating diverse data sources into a unified, high-performing system. Incident Management & Data Governance: Proactive and reactive, we safeguard your data assets. Our incident management protocols ensure rapid response and resolution to data-related issues, minimizing disruption and maintaining data integrity. We also help establish robust data governance frameworks to ensure compliance, quality, and security. Cloud Computing Services with Machine Learning & AI: Leverage the power of the cloud for unparalleled scalability and innovation. We architect, deploy, and manage secure cloud solutions on leading platforms (AWS, Azure, GCP), integrating advanced machine learning models and artificial intelligence capabilities to automate processes, enhance customer experiences, and create intelligent applications.

I am a Data Engineer with 4+ years of experience building scalable, end-to-end data platforms and cloud-native data solutions. I have strong expertise in Python, SQL, and AWS. My experience includes building distributed data pipelines, designing Data Lake architectures on AWS, and developing automated ETL/ELT workflows using PySpark and Apache Airflow. I also work with Terraform, dbt, CI/CD, and Docker to deliver reproducible, scalable, and production-ready data platforms. In previous projects, I developed an AWS-based Data Lake platform that automated the ingestion of more than 20,000 clinical trials, built distributed ingestion services in Golang using goroutines, and orchestrated complete data pipelines with Apache Airflow, enabling scalable analytics through S3, Glue, Athena, and dbt. I also automated infrastructure provisioning with Terraform, containerized the platform with Docker, and implemented GitHub Actions for Continuous Integration and automated validation. I am open to global opportunities as a Data Engineer, especially in high-performance environments where I can apply my expertise in AWS, Python, SQL, PySpark, and modern data architectures to build reliable, scalable, and cloud-native data platforms. Technical Experience: Python – Data Engineering, ETL/ELT pipelines, automation, APIs, and distributed processing. SQL – Complex queries, data transformation, analytical modeling, and performance optimization. AWS (S3, Glue, Athena) – Data Lake architectures, serverless analytics, and cloud-native data platforms. Apache Spark / PySpark – Distributed data processing for large-scale datasets. Apache Airflow – Workflow orchestration and automated pipeline scheduling. Data Lake & Data Modeling – Analytical data architectures and layered data platforms. dbt – Data transformation, modular modeling, and analytics engineering. Terraform – Infrastructure as Code for reproducible cloud environments. Docker & GitHub Actions – Containerization, CI/CD, and automated deployments. PostgreSQL – Relational database design, ETL pipelines, and analytical workloads. Personal Qualities: Strong analytical and problem-solving mindset. Results-oriented with focus on scalable engineering solutions. Effective communication with technical and cross-functional teams. Passion for automation, cloud technologies, and continuous learning. Commitment to clean architecture, reproducibility, and engineering best practices.

Backend systems that scale. Data pipelines that don't break. AI features that actually work in production. I'm a Python backend and data engineering specialist with 8+ years of experience building production-grade systems - first in Poland, now serving clients across the US and worldwide. My path here is a bit unusual: I started in digital marketing for an online marketplace, which taught me how technical decisions tie directly to business metrics like conversion, retention, and revenue. That perspective still shapes how I build software today - I don't just write code, I build things that move the needle for your business. 🔷 WHAT I DO 🔹 Backend Development with FastAPI & Django I design and build RESTful and async APIs that are fast, well-documented, and easy to maintain. Whether it's a greenfield FastAPI microservice or a legacy Django monolith that needs refactoring, I write clean, typed, testable Python code following SOLID principles and real test coverage. 🔹 Cloud Infrastructure with AWS & Docker I containerize applications with Docker and deploy them on AWS (EC2, ECS, Lambda, S3, RDS, CloudFront) with CI/CD pipelines that ship code safely and often. I'm comfortable owning infrastructure end-to-end, from a local docker-compose setup to an auto-scaling production environment. 🔹 RAG & GraphRAG Systems I build Retrieval-Augmented Generation pipelines that connect LLMs to real, private data using vector search, hybrid retrieval, and chunking strategies tuned for accuracy. I also build GraphRAG systems with Neo4j, where entity relationships and knowledge graphs improve answer quality well beyond flat vector search. I've integrated these systems with OpenAI, Anthropic, and open-source models through LangChain and LlamaIndex. 🔹 Data Engineering: Snowflake, Neo4j, ETL I design ETL/ELT pipelines that move data reliably from messy sources into clean, queryable warehouses. I work extensively with Snowflake for analytics workloads and Neo4j for graph-based data modeling, which is also useful for fraud detection and recommendation engines. 🔶 INDUSTRIES & PROJECT TYPES I've worked on internal tools for e-commerce marketplaces, backend APIs for SaaS products, data pipelines for fintech reporting, and RAG-powered chatbots and internal knowledge assistants for teams that needed fast, accurate answers from large document sets. If your project involves moving data, exposing it through an API, or making it queryable by an LLM, it's likely within my wheelhouse. 🟢 WHY CLIENTS WORK WITH ME • 8+ years of hands-on coding experience, not just consulting or management • Worked inside small, fast-moving IT companies in both Poland and the US, so I know how to operate with limited resources and tight timelines • A marketing background means I understand the "why" behind a requirement, not only the "what" • Clear communicator: detailed updates, the right questions asked upfront, no disappearing mid-project • I treat every codebase like it's going to production tomorrow, because it probably is 🏗️ TECH STACK Languages: Python, SQL Frameworks: FastAPI, Django, Django REST Framework, Flask AI & Data Retrieval: RAG, GraphRAG, LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, FAISS), LLM integration (OpenAI, Anthropic, Llama) Data Engineering: Snowflake, Neo4j, ETL/ELT, Apache Airflow, dbt, PostgreSQL, MySQL DevOps: Docker, AWS (EC2, ECS, Lambda, S3, RDS), CI/CD (GitHub Actions, GitLab CI), Nginx Other: Celery, Redis, RabbitMQ, pytest, Git ✅ HOW I WORK I start every project with a short discovery conversation to understand the real goal, not just the feature list. Then I propose a clear plan with milestones you can track progress against. I write tests, document my code, and leave systems in a state that another developer - or future you - can pick up without confusion. I'm available for fixed-price projects with a defined scope and for long-term hourly engagements where I become an extension of your team. If you need a backend developer who can also think like a data engineer, and increasingly like an AI engineer, let's talk about your project. Keywords: Python developer, backend developer, FastAPI developer, Django developer, REST API development, AWS developer, Docker engineer, DevOps, cloud engineer, data engineer, ETL developer, ETL pipeline, Snowflake developer, Neo4j developer, graph database, knowledge graph, RAG, Retrieval Augmented Generation, GraphRAG, LLM integration, LangChain, LlamaIndex, vector database, OpenAI API, Anthropic API, AI engineer, Python automation, microservices, PostgreSQL, MySQL, NoSQL, API integration, full stack Python, software engineer, backend architecture, scalable systems, CI/CD pipeline, GitHub Actions, data pipeline, data warehouse, SQL developer, Celery, Redis, async Python, Pydantic,

🚀 Data Engineer | AWS | Azure | PySpark | Snowflake | Databricks | Airflow I help businesses build scalable, cloud-native data platforms and reliable ETL/ELT pipelines. With 6+ years of experience across financial services and healthcare, I specialize in designing data lakes, data warehouses, and real-time data pipelines using AWS and Azure. ✔ ETL/ELT Pipelines with Python, SQL, PySpark, Airflow, and dbt ✔ Data Warehousing with Snowflake, Redshift, Databricks, and Delta Lake ✔ Batch & Streaming Solutions using Kafka and AWS Kinesis ✔ Data Modeling, Performance Tuning, and Data Quality Frameworks ✔ Healthcare Data (HIPAA, HL7, FHIR, X12) and Financial Analytics ✔ BI & Reporting with Power BI and Tableau ✔ CI/CD, Infrastructure as Code, and Cloud Automation I focus on building reliable, scalable, and cost-efficient data solutions that turn raw data into actionable insights. Whether you need a new pipeline, migration to the cloud, or optimization of existing workflows, I'm ready to help bring your data projects to life.

Hi, I’m Adwitia! Over the past three years, I’ve specialized in architecting data infrastructure and connected decision systems that give executives and business leaders a real-time, clear picture of their company’s performance, operations, and financials. During my tenure at Requin Analytics, I focused on engineering executive-level systems that integrated directly with company warehouses and cloud platforms—allowing leaders to track live logic through automated data pipelines. Having served global firms ZigTech Solutions, I’ve delivered results for founders and directors across E-commerce, SaaS, manufacturing, healthcare, logistics, and construction. As a Top Rated Plus Talent on Upwork, I focus on technical strategy for startups and growing enterprises, creating scalable architectures curated to match specific business growth goals and complex data requirements. 🥇 Here’s How I Can Help Your Business: 🎯 Decision Systems & Executive Intelligence • Executive & C-Suite Decision Systems • Automated Profit and Cash Flow Logic • Strategic KPI & Performance Architecture • E-commerce & Marketing Intelligence • Operational & Departmental Infrastructure • Custom-built systems based on your company’s unique requirements 🎯 Data Engineering & KPI Architecture • Automated data pipelines connected to cloud warehouses (BigQuery/Snowflake) • Centralized "Source of Truth" through dbt modeling and SQL optimization • Scalable KPI setups with accurate logic and high-speed performance • End-to-end data integration for better organizational visibility 🎯 Infrastructure Management & Strategy • Manage data roles, permissions, and security protocols • Optimize system performance and logic reliability 🛠 Tools I Work With Engineering: SQL, dbt, BigQuery, Snowflake, Power Query Intelligence: Power BI, Tableau Automation: Power Automate, Microsoft 365 Collaboration: ClickUp, SharePoint, Slack 🔍 How I Work 1️⃣ Discovery Call: I’ll discuss your business goals and the specific logic needed for your decision systems. 2️⃣ Architecture First: I’ll design the data flow and logic mapping before deployment, ensuring the system is built for scale. 3️⃣ Engineering & Collaboration: Frequent updates and feedback loops ensure the infrastructure matches your exact expectations. 4️⃣ Deliver Impact: The final systems are intuitive, automated, and built for executive-level clarity. Would love to schedule a short call to discuss how we can architect the data infrastructure that fits your business needs.

Lead AI/ML Engineer & Data Science Lead proficient in building scalable AI systems, LLM-powered applications, and production-ready SaaS platforms that handle real-world data, workflows, and automation at scale. I work across the full product lifecycle — from designing backend architecture and ML/AI models to building user-facing applications and deploying on cloud. With a strong foundation in data science, I focus on turning raw data into intelligent, production-ready systems that deliver real business value. Whether it’s an AI-driven platform, automation system, intelligent assistant, or data-heavy application — I build complete, end-to-end solutions. 🚀 Core Expertise 🔹 Backend & APIs Python | FastAPI | Django | Flask | Node.js REST APIs | GraphQL | Microservices | WebSockets | AsyncIO | Celery 🔹 AI/ML & Generative AI Machine Learning | Deep Learning | PyTorch | TensorFlow | scikit-learn | NLP LLMs (GPT-4/4o, Claude, Gemini, Mistral, LLaMA) RAG Pipelines | AI Agents | Multi-Agent Systems | LangChain | LangGraph | LlamaIndex Prompt Engineering | Fine-tuning | Embeddings | Semantic Search | Guardrails 🔹 Data Engineering Data pipelines & ETL — Apache Airflow, PySpark, AWS Glue, Azure Data Factory, Kafka, dbt, DataBricks 🔹 Data Science & Analytics Statistical Modeling | Predictive Analytics | Time-Series Forecasting (ARIMA, Prophet, XGBoost) Anomaly Detection | Classification & Regression Models | Feature Engineering Model Evaluation & Optimization | A/B Testing | Data Visualization (Matplotlib, Seaborn, Tableau) Business Intelligence & Decision Systems 🔹 Databases & Caching PostgreSQL | MySQL | MongoDB | Redis | Elasticsearch Query Optimization | Indexing 🔹 Cloud & DevOps (Production Systems) AWS (EC2, S3, Lambda, ECS, RDS) | GCP Docker | Kubernetes | CI/CD | GitHub Actions | Linux | Nginx | Monitoring & Logging 🧠 What I Build ✔ AI-powered SaaS platforms ✔ LLM-based assistants and copilots ✔ RAG-based knowledge systems ✔ AI agents & workflow automation systems ✔ Data science-driven decision systems ✔ Predictive analytics & forecasting models ✔ Document processing & intelligent data systems ✔ Scalable backend architectures & APIs ✔ Real-time systems & streaming applications ✔ End-to-end cloud-deployed products 🏆 Why Clients Work With Me ✔ Strong ownership — from idea to production ✔ Deep experience across AI, ML, and Data Science (not just prototypes) ✔ Clean, scalable architecture with long-term maintainability ✔ Ability to handle backend, AI, data, and deployment in one place ✔ Focus on performance, reliability, and real business outcomes 📈 Tech & Keywords AI Engineer, Lead AI Developer, Data Scientist, Python, FastAPI, Django, React, Next.js, LLMs, OpenAI, Claude, RAG, LangChain, LangGraph, Vector DB, AI Agents, Machine Learning, Deep Learning, NLP, Data Science, Forecasting, XGBoost, Prophet, ETL, Kafka, PostgreSQL, Redis, Docker, Kubernetes, AWS, GCP, CI/CD, SaaS Development 📩 Let’s Build Something Solid If you’re looking for someone who can take full ownership of your AI product — from data and models to backend and deployment — and build something that actually works in production, let’s connect. — Credentials — 🎓 MS — Statistics & Data Mining, Linköping University, Sweden 🎓 BS — Computer Science, Air University