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I am a skilled Data Engineer and Analyst with expertise in developing scalable data pipelines, designing efficient data architectures, and creating insightful dashboards. I specialize in data integration, transformation, and analytics, delivering optimized solutions that align with business objectives 🏆 Senior Data Analyst | 9+ Years of Experience 📊 Data Visualization Expert: Power BI, Tableau, Google Looker 🛠️ Data Engineer & Architect: ETL (AWS Glue, Azure Data Factory), SQL (T-SQL, MySQL, PostgreSQL, APIs), Data Warehousing (Snowflake, Redshift, BigQuery) 💻 Data Analysis & Modeling: Python (Pandas, SciPy), R, Predictive Modeling (Customer Churn, Sales Forecasts) Expertise & Skills 🛠️ Data Architecture & Engineering ● SQL Mastery: Skilled in writing optimized queries for extracting and manipulating data across databases (T-SQL, MySQL, PostgreSQL) and APIs. Proficient in joins, subqueries, window functions, and stored procedures. ● ETL & Data Pipelines: Extensive experience in data extraction (web scraping, API integration, database connectors), transformation (data mapping, filtering, aggregation), and loading (bulk inserts, staging tables). Strong background in cloud-based ETL platforms like AWS Glue and Azure Data Factory. ● Workflow Automation: Hands-on experience with workflow management tools like Airflow, Snowflake Tasks and Luigi, managing pipeline scheduling, dependencies, and data flow monitoring. ● Data Warehousing: Deep understanding of best practices in dimensional modeling and normalization. Experienced with Snowflake, Redshift, and BigQuery. 🛠️ Data Cleaning & Wrangling ● SQL-Driven Data Cleaning: Expertise in handling missing values, filtering anomalies, type conversion, and standardization. ● Data Quality & Profiling: Proficient in tools like Pandas Profiling, OpenRefine, and Trifacta Wrangler for data statistics, anomaly detection, and distribution analysis. 🛠️ Data Analysis & Modeling ● Statistical Analysis: Strong background in R and Python libraries (NumPy, Pandas, SciPy, PyTorch) for hypothesis testing, regression, and time series analysis. ● Predictive Modeling: Experience building machine learning models (decision trees, regression) for use cases like customer churn prediction and sales forecasting. ● SQL-Driven Data Exploration: Skilled in uncovering patterns and trends through direct SQL analysis, driving insights for visualization and decision-making. 🛠️ Cloud Platform Expertise: ● AWS: Advanced knowledge of Lambda, Glue, S3, and Redshift for scalable and secure data processing. ● Azure: Extensive experience with Function Apps, Synapse, Data Factory, and Data Lake Gen 2 for robust data solutions. ● GCP: Expertise in BigQuery, Cloud Functions, Data Fusion, and Looker for analytics and data management. ● Snowflake: End-to-end warehouse development including schema design, performance tuning, ELT, RBAC security, semi-structured data (VARIANT), Streams & Tasks, external tables, and cost optimization 🛠️ Data Visualization & Communication ● Data Acquisition & Integration: Experienced in connecting diverse data sources (SQL databases, APIs, CRM systems, Excel/CSV) across Power BI, Tableau, and Looker. ● Data Transformation & Modeling: Strong knowledge of Power Query, Tableau Prep, and LookML for shaping and structuring data effectively. ● Interactive Dashboards & Insights: Adept at building compelling, dynamic dashboards with DAX measures, custom visuals, and row-level security. ● Service Administration: Experienced in managing Power BI/Tableau licenses, configuring user access, and optimizing performance. Skilled in using Power BI API and Tableau Prep for automation. If you're looking for a data-driven approach to problem-solving, let’s connect! I’m happy to discuss projects, provide estimates, or assist with any data-related inquiries.

🏆 Microsoft Certified Data Engineer and Analyst 🏆 Senior Data Engineer and Analyst with over 10 years of experience I am a Senior Data Engineer and Analyst specializing in building scalable data pipelines, designing data architectures, and delivering impactful dashboards. My expertise spans data integration, transformation, and analytics, ensuring optimized and actionable solutions tailored to business needs. Expertise includes: 🔶 Data Engineering & Architecture: ● ETL Mastery: Expert in cloud-based ETL tools such as AWS Glue, Azure Data Factory, GCP Data Fusion, and Snowflake ELT workflows for seamless data ingestion, transformation, and loading. ● SQL Proficiency: Mastery of SQL query optimization, advanced joins, window functions, and stored procedures across T-SQL, MySQL, PostgreSQL and Snowflake SQL (micro-partition pruning, clustering, semi-structured data queries). ● Data Pipeline Orchestration: Experienced in using workflow management tools like Apache Airflow and Snowflake Tasks to automate and monitor data pipelines efficiently. ● Data Warehousing: In-depth experience with Snowflake, Redshift, and BigQuery, including dimensional modeling and normalization best practices. 🔶 Data Analysis & Dashboard Development: ● Power BI: Skilled in creating dynamic, interactive reports using centralized datasets, PowerQuery, DAX measures, and Python scripting for complex data transformations. ● Tableau: Advanced expertise in integrating diverse data sources, creating calculated fields, and developing visually compelling dashboards. ● Looker: Proficient in LookML for data modeling, custom visualization, and embedding analytics for seamless integration with business workflows. ● Real-Time Insights: Delivered actionable dashboards connected directly to cloud-based sources for up-to-date analytics. 🔶 Cloud Platform Expertise: ● AWS: Advanced knowledge of Lambda, Glue, S3, and Redshift for scalable and secure data processing. ● Azure: Extensive experience with Function Apps, Synapse, Data Factory, and Data Lake Gen 2 for robust data solutions. ● GCP: Expertise in BigQuery, Cloud Functions, Data Fusion, and Looker for analytics and data management. ● Snowflake: End-to-end warehouse development including schema design, performance tuning, ELT, RBAC security, semi-structured data (VARIANT), Streams & Tasks, external tables, and cost optimization 🔶 Data Governance & Transformation: ● Strong Python scripting skills for automation, API integration, and advanced data cleansing. ● Hands-on experience with tools like Pandas Profiling, OpenRefine, and Trifacta Wrangler for data profiling, quality assurance, and anomaly detection. ● Proficient in implementing secure access controls using IAM roles, Lake Formation, and APIs, as well as Snowflake RBAC, masking policies, and secure data sharing for governance and compliance. 🔶 API Integration & Automation: ● Built and managed data pipelines for platforms such as Stripe, AWS, and Google Analytics. ● Integrated APIs to extract, transform, and load data seamlessly into analytics platforms. ● Automated complex workflows using Python and cloud-native tools, ensuring efficiency and scalability. I am passionate about delivering data solutions that not only meet but exceed client expectations. Let’s collaborate to turn your data into a powerful asset for strategic decision-making! Thank you for your time!