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I’m a Machine Learning Engineer helping businesses integrate AI to automate workflows, build LLM and RAG applications, and structure data for reliable analytics. I clarify what’s possible with AI, what roles you need, and how to move from idea to scalable implementation. Experienced in building and deploying ML systems end-to-end, transforming data into insights, and guiding founders on effective AI adoption. Technologies: Python, SQL, Pandas, Scikit-Learn, PySpark, LangChain, MLFlow, Flask, FastAPI, AWS, Databricks, Docker, Kubernetes, Terraform.

Your data infrastructure looks fine on paper, but it still can't answer a basic business question before the meeting's over. That's the gap I close, end to end. I'm a senior data engineer with 7+ years building pipelines that run in production without breaking at 6am. My core stack is Snowflake, Databricks, dbt and AWS, with Python and Airflow holding it together, but the tools matter less than the outcome: reliable data your whole team actually trusts. A few things that show how I work. I migrated a 200-view mart off Databricks and rebuilt it natively in Snowflake SQL. I built CI/CD for a US healthcare client using Schemachange and Snowflake, with automated data-quality checks and deployment gating so bad data never reaches production. Earlier in my career I cut processing time 25–40% by moving legacy scripts to Spark, saved a business team 30+ hours a month by automating their reporting, and redesigned Power BI dashboards that cut reporting time 40% and finally got finance and ops to actually use them. I work as an independent contractor, no middleman, no overhead, no ticket-closing. I take your problem on as mine, ask the business questions first, and design something your team can maintain without depending on me forever. If your data is slow, unreliable, or just not being used to make decisions, let's talk.

I am a data professional with over 3 years of experience in Data/Cloud Engineering, specializing in designing and implementing scalable Data Engineering solutions on cloud platforms. My expertise lies in building robust Data Lakes and Data Warehouse pipelines, with a proven track record of delivering multi-terabyte to petabyte-scale solutions for clients in commercial healthcare, retail, and beyond. Additionally, I have hands-on experience constructing Retrieval-Augmented Generations (RAGs) to enhance data science workflows. Core Competencies: ✅ Microsoft Azure: Data Factory, Synapse, Storage Account, SQL Server, SSIS, SSAS, and Power BI. ✅Amazon Web Services (AWS): EMR, Athena, Redshift, Glue, S3, RDS, Kinesis Data Firehose, Kinesis Data Streams. ✅Data Engineering Tools: Databricks (Azure), dbt, Snowflake, Airflow, Airbyte, Hadoop, and Hive. ✅ Machine Learning & AI: Skilled in developing and deploying machine learning models using TensorFlow, PyTorch, and scikit-learn for predictive analytics, classification, and clustering. ✅ Large Language Models (LLMs): Proficient in leveraging models like GPT-3 and BERT for natural language processing tasks such as text generation, summarization, and sentiment analysis. ✅Programming & Querying: Advanced Python and SQL expertise. ✅Relational Databases: Proficient in Postgres, MySQL, MSSQL, and SQLite. ✅NoSQL Databases: Skilled in MongoDB, Cassandra, and GCP Bigtable. ✅ Version Control: Git, Gitlab, Github. Certifications (verified): ✅ AZ-900 ✅ Databricks Data Engineer Fundamentals ✅ Databricks Data Engineer Associate ✅ Databricks Data Engineer Professional

Full Stack Developer with over 10 years of industry experience, specializing in Web Development, HubSpot and different facets of Artificial Intelligence. I possess a deep understanding of web development and have successfuly utilized my skill-set to help businesses foster growth through cutting-edge digital solutions. Certified in Hubspot, I create and cutomize digital marketing assests, focusing business automations that streamline operations and boost engagement. 🧨TECH STACK🧨 🎨Front-end Technologies: React.js, Next.js, Angular, React-Native, Flutter, HTML, CSS, JQuery 🕹Back-end Technologies: Django, Spring Boot, FastAPI, Flask, Pyspark/Pands/Numpy, Laravel, Redis 🎇DevOps: Proficiency in Docker, Kubernetes, Terraform, AWS, GCP, Firebase, Heroku, CircleCI 👜E-commerce Platforms: Shopify, Magento and HubSpot COS/CRM. 🔧API Integration: Experienced in integrating third-party APIs like Twillo, Zapier for enhanced functionalities ⚓AI/ML Tools: LangChain, LlamIndex, OpenAI APIs, LightGBM, XGBoost, MLFlow

I am a Software Engineer with 8 year of experience in developing applications. I already work with a lot of technologies including: VB.NET, C#, Asp. Net Web Forms, Asp.Net Web Api, Asp.Net MVC, JQuery, Angular JS, Angular, Entity Framework, NHibernate, Delphi. I have experience in both backend and front-end development. I have a lot experience in T-SQL (Sql Server), but I also have some knowledge in Oracle, MySql,Postgre and MongoDB. For control version I already work with Git, Bitbucket and TFS. Recently I've shifted my career to work with Big Data, I'm finishing my thesis on Data Science and Advanced Analytics and I'm currently working as a Big Data Engineer.

Data Engineer | AWS | Artificial Intelligence Analyst/Data Engineer, with more than 10 years of experience in the Analytics area. Recognized for its strengths in data analysis, understanding of business dynamics, ETL, Data Warehouse, database programming and statistical tools, code reengineering, working with solutions for the full cycle of the data modeling process and leveraging analytics to extract information and provide insights. CERTIFICATIONS - SQL SERVER ADM - AWS Cloud Pratictioner Cloud Computing # AWS (S3, EC2, Lambda, Event Bridge, AWS Step Functions, Api gateway +20 Amazon Services) Databases # Oracle # SQL Server # MySQL # Mysql # Teradata # Data Stage # Mongo DB Unified Data Analytics Plataform # Cloudera (CDP) # Databricks ( boost Spark inside in a cloud-based managed plataform ) # Hadoop Ecosystem (HDFS, Sqoop, Hive, Hue, Impala) # Apache Spark (RDD, Streaming, Scala, PySpark) # Apache Hive Expert (DW & ETL) Language # SQL # Python # .Net | C# # Java # Shell Script ETL # Integration Services # Apache Sqoop (Data Ingesting) Others # Linux # Machine Learning libraries # Jupyter Notebook # Google Colab Most Recently Experience - I play with Hadoop framework projects recent 4 years; - Participating in Big Data projects with Sqoop, Hive, MapReduce, storage in HDFS / S3. - Developing a Platform Data Processing on AWS Services using python and .NET; - Nowadays I'm focusing in studying to certify in AWS Developer Certification - Experience on the sectors: Mining, Bank & Pharmaceutical - Outstanding skill on (hands-on) Oracle DB(PL/SQL), MS-SQL Server, Big Data Platform and Python