- A self-driven AI Data Engineer with strong background in data aggregation, knowledge extraction, language processing, and visualization. - A self-sufficient contributor in designing and building Data Warehouse architecture, data pipelines, AI models, automations, and dashboards. - A senior-level teammate experienced in leading projects, building trusted communications with clients, capturing requirements, and planning milestones. - A quick learner with risk-taking, data-driven decision-making, analytical skills, adaptability in a rapidly changing environment, and motivated by challenges.

Most AI engineers build impressive demos. I build the thing that's still running 6 months later. If you're losing hours to manual processes, sitting on data you can't use, or tired of AI that works in a notebook but breaks in production, that's exactly where I come in. I design and ship systems that automate the work, cut the hours, and deliver measurable ROI. Not prototypes. Not wrappers. The real thing. What I ship: → RAG pipelines that retrieve the right context — not just similar text → Agentic workflows that handle multi-step tasks without hand-holding → AI automation that kills repetitive work at the root (N8N · Make · Zapier · Airflow) → LLM integrations wired into your existing stack and APIs → Fine-tuned models trained on your domain — not just the internet → Computer Vision and multimodal AI systems → ML pipelines built for structured and unstructured data, at scale Stack: LangChain · LlamaIndex · OpenAI · Anthropic · PyTorch · Hugging Face · LoRA/QLoRA/PEFT FAISS · Pinecone · ChromaDB · N8N · FastAPI · Docker · Kubernetes · AWS · Azure Why me: 3+ years shipping production AI — RAG systems, AI agents, automation pipelines used by real businesses. I communicate clearly, document properly, and don't hand you a black box you can't maintain. I know where these systems break. Because I've fixed them. Every engagement ends with one question: did something measurable improve? If the answer isn't yes, I'm not done. Tell me what you're building. I'll tell you honestly how long it'll take.

Hardworking and passionate Junior Data Engineer eager to grow and apply knowledge of data modeling, data warehousing, and big data tools in real-world projects while gaining hands-on experience.

I help businesses design and build scalable data platforms, modernize data warehouses, and enable AI-driven insights. With 10+ years of experience in data engineering, analytics, and architecture, I’ve worked across industries including Private Equity, Healthcare, Hospitality, and Retail. I specialize in building end-to-end data solutions on Azure, Microsoft Fabric, Snowflake, and AWS. Recently, I’ve been working on enabling AI-powered data access—building integrations that allow users to interact with enterprise data platforms using natural language (e.g., via tools like Claude), eliminating the need for manual SQL and improving decision-making speed. What I can help you with: Data warehouse design and modernization (Azure Synapse → Microsoft Fabric, Snowflake, etc.) Building scalable ETL/ELT pipelines and Lakehouse architectures Data modeling (fact/dimension design) for analytics and reporting Power BI dashboards and KPI reporting AI-enabled data access (natural language querying over your data platform) Performance optimization and cost reduction I’ve led large-scale implementations processing high-volume data across multiple regions, working closely with stakeholders to deliver reliable and scalable solutions. If you’re looking to modernize your data platform or explore AI-driven analytics, I’d be happy to help.

1. Professional Summary Summary Cloud Data Engineer with extensive experience building Data Warehouse, Data Lake, and Lakehouse systems on AWS. Strong expertise in real-time event-driven systems, ETL/ELT pipelines, Spark processing, and Kimball/Immon hybrid methodologies. Proven success designing scalable enterprise data platforms for financial institutions. 2. Core Technical Skills Skill Group Technologies AWS Data & S3, Glue, DMS, Lambda, MSK, Kinesis Firehose, API Gateway, EventBridge, Compute Redshift, Athena, EMR, RDS, KMS, Iceberg Data Processing Python, SQL, Scala, Spark, Java DW/BI SSIS, Pentaho, SSAS, SSRS, Power BI, Tableau Databases Oracle, MS SQL, PostgreSQL, MySQL, DynamoDB, Aurora Serverless Big Data Hadoop, HDFS, Hive, HBase, Kafka, Flume, NiFi DevOps / Airflow, Dbt, ADF, Docker, Kubernetes Orchestration

Data Tech Lead & Enterprise Architect ​I specialize in architecting highly scalable, decoupled cloud data infrastructures and leading engineering teams to build high-concurrency data ecosystems. My work bridges the gap between complex business requirements and robust, future-proof software engineering standards, ensuring data platforms scale seamlessly with the business. ​What I do best: ​Enterprise Data Architecture: Designing robust, multi-cloud, and event-driven data platforms (AWS, Snowflake) that support high-volume streams and global financial ecosystems. ​Advanced Framework Engineering: Building modular, orchestration-agnostic ingestion frameworks using Python, SOLID principles, and GoF design patterns to eliminate technical debt. ​Real-Time Data Streaming: Implementing high-concurrency CDC solutions (Kafka, Debezium) and Medallion architectures for near-real-time business insights. ​Pipeline & Workflow Optimization: Streamlining complex data pipelines using Apache Airflow, dbt, and modern data stack tuning to drastically reduce operational runtimes.

I specialize in building scalable, cloud-based analytics ecosystems with over 8 years of experience driving business impact across gaming, e-commerce, banking, and aviation industries. My expertise includes SQL, Python, and visualization tools like Looker, allowing me to design end-to-end data pipelines that automate processes and provide actionable insights. I thrive on developing reliable data systems that enhance decision-making and operational efficiency. Whether you need advanced dashboarding, data engineering solutions, or analytics strategy, I can deliver tailored solutions that meet your unique needs. Let’s connect and discuss how I can help you leverage data to achieve your goals.

I specialize in automating reporting and building dashboards for growing business using tools like Power BI, SQL and Python. I have worked in various industries including Banking, Finance, Marketing, Retail, e-commerce and healthcare. I love helping business by automating laborious manual data processes and setup or improve data infrastructures. Skills Overview - Advanced dashboard building, modification and optimization in Power BI - Highly skilled in data analysis, data modeling, database design and data warehousing - Expertise in building ETL & data pipeline from different sources (APIs, flat files, databases) - Strong proficiency in SQL, Python, Spark, Excel and Power BI - Expertise in AWS data related services (Glue, S3, Redshift, RDS,Athena) and Azure services - Familiarity with 3rd party analytic tools like Snowflake, Databricks and DBT - Communicate effectively with both technical and non-technical audience Experiences - Over 5+ years of work experience in data analysis / data engineering with focus on AWS ecosystem - Worked on various complex and simple data projects in industries such as Banking, Finance, Marketing, Retail, e-commerce and healthcare - Worked on a few complex Machine Learning projects in retail

I design and build data infrastructure end to end. My core stack is dbt, Azure (Data Factory, Synapse, Databricks), and Python, with strong experience on AWS (SageMaker, Bedrock) as well. Day to day I'm a data engineer at a large national nonprofit where I own everything from ELT pipelines and dbt transformations to production ML models built on CatBoost and XGBoost. I build the pipelines, train the models, monitor the outputs, and fix things when they break. What I can help you build: dbt project setup and data modeling from scratch, migrating legacy SQL into dbt, building and optimizing Azure Data Factory or Synapse pipelines, deploying ML models into production workflows, Python scripting and automation, Power BI dashboards, and Snowflake implementations. I communicate clearly, I scope work honestly, and I deliver on time.

SUMMARY Data Scientist with 12 years of international experience in engineering and data-driven projects within major corporations. Skilled in machine learning, statistical analysis, image and video analysis, and process optimization, with a proven track record of delivering impactful solutions and cost savings