Passionate about transforming raw data into actionable insights and building scalable data solutions that drive business value.

• 🔭 Currently working on: Data Engineering & Analytics projects
• 💼 Role: Senior Data Engineer & Data Analyst
• 🌱 Specializing in: Data Architecture, ETL Pipelines, Analytics & Visualization
• 🎯 Focus areas: Data Quality, Governance, Cloud Data Solutions
• 📍 Location: UTC -03:00
• 💬 Ask me about: Python, SQL, Data Warehousing, Cloud Platforms
• 📫 Reach me: LinkedIn

Snowflake-based security analytics data warehouse for IT department of a construction and infrastructure solutions company, processing 10M+ records daily with 98% automation rate and significant operational cost savings.

Highlights:

• 3-layer architecture (Bronze/Silver/Gold) with dimensional modeling
• 550+ database objects (141 raw tables, 32 dimensions, 23 facts, 148 views)
• Real-time Snowpipe ingestion + batch processing
• SCD Type 2 for historical tracking
• Power BI and Streamlit dashboards

Tech Stack: Snowflake, Python 3.13, dbt, SQL, Power BI, Streamlit Industry: Construction & Infrastructure (IT Security Analytics) License: MIT

Enterprise-scale data lake on Google Cloud Platform consolidating 4 heterogeneous source systems with automated ETL pipelines and real-time ingestion.

Highlights:

• 7 production Airflow DAGs orchestrating multi-source integration
• Bronze-Silver medallion architecture with Apache Iceberg
• Near real-time CDC with 30-minute refresh cycles
• 1.45 TB data volume with projected 3.98 TB growth
• API integration (Salesforce REST), batch processing, and streaming

Tech Stack: GCP, BigQuery, Cloud Composer (Airflow), Dataflow, Apache Beam, Python, SQL Industry: Logistics & Supply Chain License: MIT

Data analytics and BI platform tracking global cloud storage migration for 130+ million users with real-time executive dashboards.

Highlights:

• 130M+ users tracked across multiple regions
• Tableau & Power BI executive dashboards
• MySQL, Hive, Databricks integration
• Comprehensive data quality framework
• Sub-second query performance on 130M+ records

Tech Stack: Tableau, Power BI, MySQL, Apache Hive, Databricks, Spark SQL, Python Industry: Technology & Cloud Services License: MIT

SQL Server to Databricks migration expertise across multiple financial services engagements with complex stored procedure translation.

Highlights:

• Multiple 4-month consulting engagements
• T-SQL to Spark SQL/PySpark translation
• 10-100x performance improvements
• SCD Type 2 with Delta Lake
• Cursor elimination and vectorization

Tech Stack: Databricks, SQL Server, PySpark, Delta Lake, Spark SQL Industry: Financial Services (Banking, Insurance) License: MIT

Internship experience in revenue management and pricing analytics with focus on price elasticity modeling and A/B testing.

Highlights:

• Price elasticity analysis and demand forecasting
• Promotional campaign ROI measurement
• A/B testing and pricing experiments
• Revenue forecasting with 95%+ accuracy
• Statistical analysis and market research

Tech Stack: Excel, SQL, Tableau, Python, Statistical Analysis Industry: Media & Entertainment License: MIT

Comprehensive collection of data engineering projects, POCs, and POKs using Python, Spark, SQL, and cloud platforms. Demonstrates end-to-end pipeline development and best practices.

Tech Stack: Python, Apache Spark, SQL, Cloud Platforms Updated: October 2025

Expertise in designing and optimizing data architectures for diverse business needs. Scalable solutions and architectural patterns.

Tech Stack: System Design, Data Modeling, Architecture Patterns License: MIT

Cloud-based data solutions and architectures demonstrating modern cloud-native approaches to data platform design.

Tech Stack: AWS, Azure, GCP, Infrastructure as Code License: MIT

Demonstrates skills in data manipulation, statistical analysis, visualization, and deriving actionable insights from complex datasets.

Tech Stack: Python, Pandas, Visualization Tools License: MIT

Expertise in leveraging data to derive insights, build predictive models, and solve complex business problems using machine learning.

Tech Stack: Python, Scikit-learn, Machine Learning License: MIT

Data governance frameworks, quality assurance, and regulatory compliance projects. Focus on data quality, lineage, and stewardship.

Tech Stack: Data Quality Tools, Governance Frameworks License: MIT

Data integration solutions across various platforms and technologies. ETL/ELT processes and real-time data synchronization.

Tech Stack: Integration Tools, ETL/ELT Frameworks License: MIT

Database design, optimization, security, and management across various database systems. Performance tuning and best practices.

Tech Stack: PostgreSQL, MySQL, Database Management License: MIT

Ecological economics tool exploring the concept of metabolic rift through data analysis. Calculating nutrient flows, ecological degradation, and resource depletion in agricultural systems.

Focus: Nutrient Flow Analysis (NPK), Soil Health, Ecological Footprint, Environmental Justice Tech Stack: Python, Pandas, Data Visualization Status: Personal Project License: MIT

Exploring Internet of Things and Industry 5.0 concepts including automation, sensors, and smart manufacturing.

Learning Focus: IoT Platforms, 5G, Edge Computing, Industrial Automation, Smart Sensors Status: Learning & Experimenting License: MIT

Exploring game development concepts, mechanics, and engines. Learning journey in creating interactive experiences and game logic.

Learning Focus: Unity, C#, Game Design Patterns, Physics, AI Status: Learning & Experimenting License: MIT

Applying data analytics to espresso extraction optimization. Understanding TDS, extraction yield, pressure profiling, and brew parameters for perfect shots.

Focus: Extraction Metrics, Pressure Profiling, Water Chemistry, Systematic Dialing-In Tech Stack: Python, Pandas, Data Analysis, Statistical Modeling Status: Personal Project License: MIT

• 6+ years in Data Engineering & Analytics
• Specialized in building scalable data pipelines and ETL/ELT solutions
• Expert in data warehouse design and cloud data platforms
• Strong background in data governance, quality assurance, and compliance
• Proficient in data visualization and business analytics tools
• Experience with big data technologies and distributed systems

skills = {
    "Data Engineering": ["ETL/ELT", "Data Pipelines", "Data Warehousing", "Data Modeling"],
    "Analytics": ["Statistical Analysis", "Data Visualization", "Business Analytics", "Reporting"],
    "Cloud": ["AWS", "Azure", "GCP", "Cloud Architecture", "Serverless"],
    "Programming": ["Python", "SQL", "PySpark", "Bash", "PowerShell"],
    "Tools": ["Airflow", "dbt", "Spark", "Kafka", "Docker", "Kubernetes"],
    "Databases": ["PostgreSQL", "MySQL", "MongoDB", "Redis", "Snowflake", "BigQuery", "Hive", "Databricks"],
    "Governance": ["Data Quality", "Data Lineage", "Metadata Management", "Compliance"]
}