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Summary ✓ Total 10+ years of experience in developing enterprise data warehousing applications. ✓ 4+ years of experience in implementing end to end Snowflake data warehouse solutions. ✓ Experience in implementing snowflake platform solutions such as RBAC, Row Access Policies, Replication etc. ✓ Experience in Data modelling techniques such as Dimensional Modelling, Data Mesh. ✓ Demonstrated expertise in crafting complex SQL queries to analyze and manipulate large datasets. ✓ Experience working on SQL and NoSQL databases. ✓ Well versed in tools like Pentaho Data Integration, Informatica. ✓ Experience working with multiple clients like Schroders, Equifax, Logitech. ✓ Good experience in converting business requirements into Technical Requirements ✓ Collaborative team player with a track record of successfully tackling intricate data challenges. ✓ Excellent communication and interpersonal skills. ✓ Experience leading a data team from onshore. Technical Skills: ✓ Database: Snowflake, SQL Server, Oracle. ✓ Cloud Technologies: AWS, Azure. ✓ Programming: Python, JavaScript ✓ Scripting: SQL, Unix ✓ Processing Tools: DBT, Pentaho, Informatica. ✓ Orchestration: Airflow ✓ Reporting: Tableau, Streamlit ✓ Collaboration: GIT, SVN ✓ Operating systems: Windows, Linux

Experienced Data Engineer with a strong background in designing, developing, and maintaining data pipelines, ETL processes, and data infrastructure. Proficient in various data technologies, scripting languages, and database systems. Skilled in optimizing data workflows, ensuring data quality, and collaborating with cross-functional teams to drive data-driven insights and business outcomes. Have Experience in working Agile Structure like JIRA. Have Experience in working version control like git, BitBucket, GitLab. Have Experience in working on SQL and BI tools like Looker and Sigma. Hand-on experience on DBT (data build tools) and Apache Airflow . Key Skills: ● Data Pipeline Development ● ETL (Extract, Transform, Load) Processes ● Data Warehousing and Data Modeling ● Big Data Technologies (PySpark) ● Data Integration and Transformation ●Data Quality Assurance ● Scripting (Python) ● Cloud Platforms (Azure,Aws) ● SQL and Query Optimization ● Data Governance and Compliance ● Workflow Automation Tools: ● Snowflake ● Miscrosoft Azure (Cloud) ● Miscrosoft AWS (Cloud) ● Pyspark ● Synapse ● PostgresSQL ● Fivetran ● Airflow BI Tools: ● Sigma ● PowerBi ● Looker ● Tableau Version Control: ● Gitlab ● BItbucket ● Github ● DataOps.live

Get reliable data pipelines, trusted dashboards, and a single source of truth your team can actually use. I’m a Senior Data Engineer and BI Consultant with 9+ years of experience designing, building, and maintaining modern data platforms across AWS, GCP, Microsoft Fabric, Power BI and Data Studio. I help businesses move from scattered files, broken pipelines, slow reports, and unreliable dashboards to clean, automated analytics systems that support faster and better decision-making. I specialize in cloud data engineering, data warehousing, lakehouse architecture, dbt transformations, and business intelligence solutions that are production-ready, scalable, and easy to maintain. 𝐇𝐞𝐫𝐞’𝐬 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐃𝐨 𝐅𝐨𝐫 𝐘𝐨𝐮: ✅ Design and build automated data pipelines across AWS, GCP, and Microsoft Fabric. ✅ Build modern data warehouses and lakehouses using Redshift, BigQuery, Databricks, Synapse, S3, and Apache Iceberg ✅ Develop clean transformation layers using dbt, SQL, PySpark, Python, and Power Query. ✅ Implement reliable data models using Kimball Multi-Dimensional Modeling, and Data Vault 2.0 ✅ Build streaming pipeline using Amazon MSK, and Kafka ✅ Build executive dashboards in Power BI, Looker Studio, Tableau, Excel, and Google Sheets. ✅ Improve slow reports, broken pipelines, poor data quality, and unreliable analytics workflows. ✅ Document systems clearly so your team can understand, maintain, and scale them. 𝐒𝐤𝐢𝐥𝐥𝐬 𝐓𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫: ➡️ Cloud Data Engineering: AWS, GCP, Microsoft Fabric, Azure ➡️ Data Warehousing: Redshift, BigQuery, Snowflake, Synapse Analytics ➡️ Data Lakes & Lakehouse: Amazon S3, ADLS, GCS, Delta Lake, Medallion Architecture ➡️ Data Transformation: dbt, SQL, Python, PySpark, Pandas, Power Query ➡️ Orchestration & Automation: Airflow, AWS Glue, Azure Data Factory, Cloud Dataflow ➡️ BI & Analytics: Power BI, Looker Studio, Excel, Google Sheets ➡️ Data Modeling: Kimball, Data Vault 2.0, Star Schema, Semantic Layers 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐔𝐬𝐞: Power BI, Looker Studio, dbt, Python, SQL, PySpark, Airflow, AWS Glue, AWS DMS, Lambda, Redshift, Athena, BigQuery, Snowflake, Microsoft Fabric, Azure Data Factory, Synapse Analytics, Amazon S3, ADLS, GCS, GitAction, CI/CD. 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐂𝐚𝐧 𝐄𝐱𝐩𝐞𝐜𝐭: ✅ Clean, automated data pipelines ✅ A reliable single source of truth ✅ Fast SQL and Python processing ✅ Dashboards that are clear, useful, and adopted by the business ✅ Strong data quality, testing, and documentation ✅ Clear communication and dependable delivery ✅ A complete BI package, not just another dashboard Whether you need a new pipeline, a scalable data warehouse, a lakehouse, a dbt project, a Power BI dashboard, or a full end-to-end analytics system, I can help you design it properly and deliver it with confidence. Send me a message with your current data challenge, and let’s discuss how to turn it into a reliable analytics solution.

Data professional with over 6+ years of experience, I specialize in providing comprehensive data consulting and services. My primary focus is on empowering businesses to unlock the potential of their data, enabling strategic decision-making and operational efficiency. 💯 Top-Notch Data Services: ⭐ Data Engineering ⭐ Data Architecture ⭐ Data Modeling ⭐ Data Warehousing [ MDM, CDC, SCD ] ⭐ Data Lakes / Data Mart / Delta Lakes ⭐ Data Migration and Integration / Data Quality Assessment / Data Governance ⭐ Data Analytics and Visualization ⭐ Data Strategy And Consulting. ⭐ Database Design & Management ⭐ Project Documentation [ ISD / SMX / ERD ] ⭐ Training and Support. 🥇 Domain Experience ⚡ Insurance / Healthcare / Banking / Telecom / Microfinance ✅ Amazon Web Services ⚡ Redshift / RDS / S3 / Athena / Glue / Lambda / QuickSight / EC2 ✅ Microsoft Azure ⚡ Azure Data Lake / Azure Databricks / Azure Data Factory / Synapse ✅ Big Data Stack ⚡ Apache Spark / Apache Hadoop / Apache Airflow / Apache Hive / Apache Kafka / Cloudera / Databricks ✅ Data Visualization ⚡ PowerBI / Tableau / Azure Synapse / AWS QuickSight / Excel / Google Data Studio / IBM Cognos ✅ Languages & Libs ⚡ SQL / Python / Java / PL/SQL / C++ / .Net / JavaScript / JSON / Node.js / PySpark / Pandas / Numpy / Matplotlib / ReactJs / HTML / CSS / Django ✅ ETL & Other Tools ⚡ Teradata / Talend Data Integration / IBM Datastage / Informatics / Alteryx / Apache Airflow / Docker / Jenkins / Confluence / Jira ✅ Databases ⚡ Vertica / IBM DB2 / Teradata / Greenplum / PostgreSQL / Oracle / MySQL / MS SQL / Oracle Goldengate / Cassandra

Are you looking for a reliable data engineer who delivers business-ready insights on time—every time? With over 5 years of experience and a 100% Upwork job success rate, I’ve designed and deployed dozens of robust cloud data systems for clients in aviation, retail, and tech. Cloud Data Expert (GCP, AWS, Snowflake, BigQuery) Advanced ETL/ELT Architecture (Python, SQL, Apache Airflow) Data Visualization (Looker Studio, Tableau, Streamlit) Notable impact: Migrated 10M+ records with zero downtime Reduced data processing costs by 30% for leading airline Let’s chat about your data challenge and how I can help—message me today!

Snowflake, dbt and Microsoft Certified Cloud Professional Experienced Lead Data Engineer with strong communication skills and sound technical background. Well developed problem solving attributes and excellent understanding of business concepts and customer needs. I help businesses build scalable, high-performance and cost effecitve data solutions. What I Offer: 🔹 End-to-End Data Engineering – ETL/ELT pipeline development, data modeling, and warehousing 🔹 Snowflake and dbt Migrations – Seamless transitions to modern cloud platforms 🔹 Performance Optimization – Faster queries, cost-efficient storage and compute, scalable architecture 🔹 Automation & Workflow Optimization – Reduce manual effort, ensure data reliability 🔹 Mentoring – Working 1-2-1 with individuals or help lead teams with new technologies. Data Engineering Skills: 🔹 Programming Languages – Python, SQL 🔹 Data Ingestion – Airbyte, dltHub, Azure Data Factory 🔹 Data Warehouses – Snowflake, SQL Server, PostgreSQL, DuckDB 🔹 Data Modeling – Kimball, DataVault 2.0 🔹 Transformation – dbt Core/Cloud, Stored Procedures, Streams, Dynamic Tables 🔹 Orchestration and Scheduling – Airflow, Azure Data Factory 🔹 Visualization – Power BI, Quicksight 🔹 Cloud - Azure, AWS Certifications: ✔ Snowflake SnowPro Core certified 3 times ✔ dbt Certified Developer ✔ Azure AZ-900 ✔ Microsoft Exam 70-461: Querying Microsoft SQL Server 2012/2014 ✔ Microsoft Exam 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012