I am a Senior Data Engineer with over six years of experience in building robust data models, transformation layers, and analytics-ready datasets that drive critical business decisions. My expertise in SQL, dbt, Snowflake, Databricks, and Python allows me to turn complex business questions into reliable data products. I thrive on collaborating with product, marketing, and operations teams to ensure data is both actionable and scalable. I am well-versed in modern AI-assisted workflows and prioritize governance through meticulous documentation, testing, and metric definition. If you are looking for a data professional who can enhance your analytics capability and streamline your processes, let’s connect and discuss how I can elevate your data strategy.

I turn messy, disconnected data into reliable dashboards and decision-ready insights that leaders actually use. I'm a Data & Analytics Engineer who bridges production-grade data engineering and C-suite business intelligence. I build automated pipelines, clean data models, and high-impact BI solutions across Power BI, Tableau, and Looker Studio. What I deliver for you: • BI & Dashboards, Interactive Power BI and Tableau dashboards with star-schema models, DAX, and Power Query that track KPIs, surface trends, and justify strategic decisions. • Analytics Engineering, Modern dbt workflows delivering version-controlled, tested, production-grade SQL transformations (Git/Bitbucket). • Pipeline Automation, Resilient, dependency-aware Apache Airflow DAGs that replace manual ETL, cutting processing time and failures. • Data Modeling, Optimized star schemas and dimensional structures across Postgres, MySQL, Synapse, and enterprise databases for fast queries. • Insight Generation, Deep root-cause analysis, exploratory data analysis, and reporting automation that flag anomalies and extract actionable KPIs. I've delivered enterprise analytics for finance, insurance, fintech, retail, and e-commerce clients, including AML/KYC reporting workloads. Keywords to connect with me: Power BI, Tableau, Looker Studio, SQL, DAX, Power Query, data analytics, business intelligence, dashboard development, KPI dashboard, data visualization, ETL, dbt, Airflow, data modeling, reporting automation, Excel, data cleaning

I help organizations design, build, and optimize modern data solutions across the full analytics lifecycle; from data transformation and pipeline development to dashboard creation, visualization, and data storytelling. With experience across Power BI, SQL, PL/SQL, Snowflake, dbt, and Airflow, I provide both targeted consultancy for one-time needs and end-to-end project delivery from discovery to production. My approach is highly collaborative and communication-driven. In fast-paced environments where priorities and requirements change quickly, I focus on maintaining regular alignment with stakeholders to ensure solutions remain practical, scalable, and business-focused.

I'm a data engineer who builds reliable and cost-effective data solutions to help your business make better decisions. I work with modern tools like Python, GCP, Azure, and Snowflake to design fast pipelines that connect your data sources and transform raw data into actionable information. I have experience integrating APIs, databases, and flat files into data warehouses, making it easy for your team to access and use data. What I Can Do For You: - Build and automate ETL pipelines that save time and reduce errors - Implement open source data solutions that keep costs down - Design cloud data infrastructures that scale with your business - Connect multiple data sources into one unified system I'm always learning new tools and techniques to deliver modern, best practice data solutions. Technical Skills: - Data Engineering: SQL, Python, BigQuery, dbt, Snowflake, MySQL, PostgreSQL, Airflow, ETL, Database Modeling & Optimization - Cloud & DevOps: GCP (Compute Engine, Cloud SQL, GKE, Dataproc, Cloud Storage, Cloud Run, IAM), Azure, Docker, CI/CD - Modern data stack tools: dbt, dlt, Metabase, DuckDB Let's Work Together 💬 If you need help building data pipelines, moving data to the cloud, or making your data more accessible, let's talk. I'll help you understand your options and build a solution that fits your needs and budget.

I'm a data engineer with 8+ years building production data infrastructure. I specialize in three areas: 1. ETL/ELT Pipeline Development: I design and build pipelines that reliably move data from source systems into your warehouse. I've engineered workflows handling millions of records daily, implemented incremental loads for performance, and built error handling to ensure reliability. Whether you're integrating APIs, migrating systems, or automating workflows, I deliver scalable pipelines. Data Warehouse Design: I architect data warehouses that serve analytics and operational needs. I design relational models across staging and analytics layers, optimize query performance, and reduce costs. My approach: understand your business questions, design the schema that answers them efficiently, then optimize iteratively. Analytics Engineering: I build transformation layers and create dashboards in Looker, Tableau, or Power BI. I've consolidated multiple data sources into unified datasets, reducing reporting prep from 30+ hours to seconds. I design dimensional models, define metrics, and ensure data quality. Technical: Python, SQL, dbt, Snowflake, AWS, Looker, Power BI, Tableau, REST APIs, data modeling, workflow automation. I work best with startups scaling infrastructure, mid-market companies with pipeline issues, or teams migrating data platforms. I move fast, communicate clearly, and deliver reliable solutions.

🚀 Senior Data Engineer | Snowflake | SQL |Databricks | Azure Data Factory | DBT | Snowpark |Snowflake Cortex | Python | Pyspark | Data Modeling(Star and Snowflake Schema) | Data Vault 2.O | Azure | AWS I am a Senior Data Engineer with 8+ years of experience designing, developing, and optimizing cloud-based data platforms and analytics solutions. I specialize in Snowflake, Databricks, Azure Data Factory (ADF), DBT, PySpark, Python, SQL, and modern data warehousing architectures. I have successfully delivered end-to-end data engineering solutions across Healthcare, Banking, Insurance, Manufacturing, and Financial Services domains, helping organizations build scalable, reliable, and high-performance data platforms. My expertise includes: ✔ Snowflake Data Warehouse Development & Optimization ✔ Databricks & PySpark Data Engineering ✔ Azure Data Factory (ADF) Pipeline Development ✔ DBT Data Transformation & Modeling ✔ ETL / ELT Pipeline Design & Automation ✔ API Integration & Data Ingestion Frameworks ✔ Data Modeling (Star Schema, Snowflake Schema, Data Vault 2.0) ✔ Snowpipe, Streams & Tasks Implementation ✔ Airflow Workflow Orchestration ✔ Performance Tuning & Cost Optimization ✔ Data Quality Validation & Reconciliation Frameworks ✔ Power BI & Tableau Data Preparation I have experience building enterprise-scale data pipelines, cloud migrations, data warehouse modernization initiatives, regulatory reporting solutions, and analytics platforms using industry best practices. My goal is to deliver scalable, secure, and business-focused data solutions that provide accurate insights and measurable value to organizations. If you need a Snowflake Data Engineer , Databricks, or Azure Data Engineering expert who can independently drive a project from requirements gathering to production deployment, I'd be happy to help.

Are you struggling with fragmented data, manual reporting, or inefficient pipelines? I bridge the gap between raw data and business intelligence by building robust, automated ELT/ETL architectures. ​With a background in high-stakes banking and an ongoing MSc in Data Science, I combine technical rigor with a deep understanding of data integrity and business ROI. Whether you need to migrate data to the cloud or optimize your dbt models, I ensure your data is clean, reliable, and ready for analysis. Core Solutions I Provide: ​Pipeline Automation: Designing end-to-end ELT pipelines using AWS S3, Snowflake, and Python. ​Data Modeling & Transformation: Architecting modular dbt models to turn raw data into structured analytics layers. ​Workflow Orchestration: Containerizing environments with Docker and automating tasks via Kestra or Airflow. ​Technical Troubleshooting: Performing root-cause analysis (RCA) on complex datasets to identify and fix discrepancies.

"I am a Data Engineer specializing in building robust, end-to-end data pipelines and managing modern data stacks. I help businesses transform raw data into actionable insights by designing efficient ETL/ELT workflows and scalable data warehouses. My Technical Toolkit: Languages: Python (PySpark), SQL. Orchestration & Workflow: Apache Airflow, Docker. Data Transformation & Modeling: dbt (Data Build Tool), Star Schema, Dimensional Modeling. Databases & Warehouses: PostgreSQL, SQL Server. BI & Visualization: Power BI. Whether you need to automate your data ingestion, optimize complex SQL queries, or build a clean Medallion architecture (Bronze, Silver, Gold), I can help you deliver reliable and clean data."

I’m a Data Engineer with ~3 years of professional experience, specialized in cloud-based data platforms, data architecture, and scalable ETL pipelines. I help companies design, build, and improve reliable data pipelines that support analytics, reporting, and data-driven decision making. What I do best: * Design and implement end-to-end data pipelines (from APIs and databases to data warehouses) * Build and maintain cloud-native data platforms on AWS * Model data for analytics using SQL and dbt * Integrate multiple external data sources (APIs, SaaS tools, operational databases) * Improve performance, reliability, and cost efficiency of existing pipelines My experience includes: * Designing data pipelines from scratch and maintaining high-volume production systems * Working closely with analysts, product, and business stakeholders * Applying data architecture best practices to build scalable and maintainable platforms Tech stack: * Python, SQL * AWS * dbt, PostgreSQL * Serverless architectures, Infrastructure as Code * Experience with GCP If you’re looking for a reliable freelance Data Engineer to help you build or improve your data platform, I’d be happy to discuss your project.

Hi, I'm a Data & Analytics Engineer with 3+ years of experience helping businesses transform raw data into reliable datasets, dashboards, and actionable insights. I specialize in designing and building end-to-end data solutions, from data ingestion and transformation to analytics-ready reporting layers. My experience includes working with large datasets, optimizing SQL queries, developing scalable ETL/ELT pipelines, and implementing modern data architectures. My expertise includes: ✔ Databricks & PySpark ✔ SQL & Query Optimization ✔ dbt (Data Build Tool) ✔ Azure Data Factory (ADF) ✔ Azure Data Lake Storage (ADLS) ✔ Data Modeling & Analytics Engineering ✔ ETL/ELT Pipeline Development ✔ Data Validation & Quality Checks ✔ Power BI & Business Reporting Over the past 3+ years, I have worked on analytics and data engineering projects involving financial, travel, and business reporting data. I have built data pipelines, implemented transformation frameworks, optimized data processing workloads, and delivered trusted datasets for reporting and decision-making. What you can expect when working with me: • Clear and proactive communication • Reliable and maintainable solutions • Focus on data quality and accuracy • Timely delivery • Business-oriented approach to problem-solving Whether you need a data pipeline, data warehouse solution, Databricks implementation, dbt project, reporting dataset, or SQL optimization, I would be happy to discuss your requirements and help you achieve your goals. Let's connect and build something valuable together.