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I am a Los Angeles-based Professional with 17+ years of work experience where I took roles of Full Stack Developer, Project Manager, Solutions Architect, Team Lead, DevOps Engineer, Project Consultant, Cloud Consultant, Cloud Architect, etc. I have a rich portfolio of Web and Mobile Apps(both iOS and Android). ***************** I have led Projects for well-known companies like Sony Pictures, Paramount Pictures, 20th Century Fox, Prince Cruise Line(PCL), Masimo, and Creative Artist Agency. ***************** As a Full Stack Developer/Team Lead/Project Manager/Solutions Architect I have extensive experience with a Web application, Mobile Applications, Desktop Application Development, UI/UX Design, Tech Support, Cloud Architect, and Consulting Projects involving technologies like Wordpress, PHP, Java, Python, C#, Javascript, React, Angular, Node.js, Express.js, Shopify, Swift, Objective-C, React Native, AWS, GCP, Microsoft Azure, etc. - Build and develop the project team to ensure maximum performance, providing purpose, direction, and motivation. - Lead projects from requirements definition through deployment, identifying schedules, scopes, budget estimations, and project implementation plans, including risk mitigation. - To coordinate internal and external resources, ensuring projects remain within scope, schedule, and defined budgets, in collaboration with project staff from various functional departments. - Analyze project progress and, when necessary, adapt scope, timelines, and costs to ensure that the project team adheres to project requirements. - Establish and maintain relationships with appropriate client stakeholders, providing day-to-day contact on project status and changes As DevOps/Cloud Engineer I have extensive experience in designing, implementing, and maintaining complex Cloud-based infrastructure with a focus on security, scalability, and high availability. AWS Services: Deployment Automation: Proficient in automating deployment processes using AWS CloudFormation, Terraform, and Ansible to reduce errors and improve speed. Continuous Integration and Delivery: Skilled in setting up CI/CD pipelines using AWS CodePipeline, AWS CodeBuild, and Jenkins for automated build, test, and deployment processes. Monitoring and Alerting: Capable of setting up monitoring systems using AWS CloudWatch, Prometheus, and Grafana to identify performance issues proactively. Security and Compliance: Knowledgeable in implementing security best practices and automated compliance checks using AWS Config and AWS Security Hub. Cost Optimization: Experienced in optimizing AWS spending using tools like AWS Cost Explorer, AWS Budgets, reserved instances, spot instances, and auto-scaling. Microsoft Azure Services: DevOps Strategies: Proficient in designing and implementing effective DevOps strategies using Microsoft Azure for continuous integration, delivery, and deployment. Infrastructure Provisioning and Configuration: Experienced in provisioning and configuring Azure infrastructure using tools like Azure Resource Manager (ARM) templates and Terraform. Continuous Integration and Continuous Deployment (CI/CD): Skilled in establishing CI/CD pipelines using Azure DevOps for automated build, test, and deployment processes. Automation and Orchestration: Capable of automating tasks and processes using PowerShell, Azure CLI, Azure Automation, and Azure Logic Apps to streamline operations. GCP Services: Deployment Automation: Proficient in automating deployment processes using tools like Google Cloud Deployment Manager and Terraform to ensure consistency and reliability. Continuous Integration and Delivery: Skilled in setting up CI/CD pipelines using Cloud Build and Jenkins on GCP for automated testing, building, and deployment of applications. Monitoring and Alerting: Capable of implementing monitoring and alerting systems using Stackdriver Monitoring and Stackdriver Logging to identify and resolve issues promptly. Security and Compliance: Knowledgeable in implementing security controls and compliance standards using GCP Identity and Access Management (IAM) and Security Command Center. Cost Optimization: Experienced in optimizing costs on GCP using tools like Cost Explorer and Budgets, as well as utilizing features like sustained use discounts and preemptible VMs to minimize expenses. *****************

I'm a data scientist with a strong background in the fintech industry. I began my career as a data analyst at a tax software company, where I partnered with sales, accounting, and legal teams to support strategic decision-making. Currently, I lead the Risk and Underwriting data science team at a fintech firm, where I work with a variety of data tools and technologies. In my roles, I've worked extensively with SQL databases including Microsoft SQL Server, PostgreSQL, and Redshift, and I use Python daily for data analysis, machine learning, and streamlit apps. I also utilize N8N for building out AI Automations Outside of work, I co-run the Ryan & Matt Data Science YouTube channel, which has grown to 25,000 subscribers and draws more than 70,000 views per month. My mission on Upwork is to document the journey of building a data freelancing side hustle from the ground up.

Previous work has involved data analytics, SQL reporting, high-volume data pipelines, API development, data visualization, and ETL/ELT. My solutions emphasize reliability, efficiency, and simplicity. The databases and programming languages that I use most often are PostgreSQL, MongoDB, Redshift, Snowflake, BigQuery, MySQL, Python, and Node.js, but I have experience with others. For data visualization, I use Tableau and develop custom solutions.

PROFESSIONAL SUMMARY Data Analysis Expertise: Over 20 years of dedicated experience in data analysis, emphasizing the enhancement of healthcare quality. Data Integration with SSIS: Created and maintained SSIS packages, centralizing data from 9 sources into a comprehensive data warehouse. Cloud Data Warehousing: Successfully established a data model in AWS Redshift, utilizing S3 bucket storage for efficient cloud-based data warehousing. Amazon Web Services (AWS): Proficiently utilized various AWS services, including VPC, EC2, Redshift, RDS (Postgres), IAM, and S3. ETL Data Pipelines with Python: Developed Python scripts for ETL data pipelines, exemplifying skills showcased in my GitHub repository. Reporting and Visualization Tools: Proficient in leveraging reporting and visualization tools such as Tableau, PowerBI, and Python for Data Science. Key Highlights: Databricks Proficiency: Demonstrated proficiency in Databricks, utilizing notebooks and pyspark for advanced data engineering tasks. AWS Data Engineering Skills: Applied strong AWS data engineering skills, including the development of ETL jobs, data warehousing, and cloud storage. Extensive SQL Experience: Extensive experience in writing complex SQL queries, ensuring efficient data retrieval and analysis.

IT professional | Automation | Full-Stack Developer | Big Data Engineer | Devops with over 8 years of experience specializing in IT department management for international logistic companies. I can implement effective software development | data infrastructure strategies at local and global levels. My greatest strength is business awareness, which enables me to permanently streamline infrastructure and applications. Striving to leverage my IT management | Full-Stack Development | Data Engineering skills. ☆ Specialized Technical Stacks ☆ - Languages: Python, C#, Terraform, Spark(PySpark, ApacheSpark), Javascript, HTML/CSS, PHP - Frameworks: Django, Flask, DotNet, Angular 2+, React, Node.js, WordPress, Shopify - Cloud Platforms: Amazon Web Service (Lambda, SNS, S3, CodePipeline, EBS, Route 53, API Gateway, CloudFormation, Transfer, EC2, Glue, etc), Google Cloud Platform (Cloud Storage, Compute Engine, Cloud Dataflow, etc) - Databases: MySQL, PostgreSQL, Redshift, Snowflake, RDS, Azure SQL, MongoDB, DynamoDB, GraphDB, and so on. - Log Monitoring tools: Grafana, Datadog, Kibana, and Splunk Look forward to a good collaboration with you! Cheers!

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐟𝐨𝐫 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐝𝐞𝐚𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐛𝐫𝐨𝐤𝐞𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐬𝐥𝐨𝐰 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐮𝐧𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬. I’m a Senior Data Engineer with 10+ years of experience building cloud data platforms, ETL/ELT pipelines, lakehouses, warehouses, and analytics-ready data layers using Microsoft Fabric, Snowflake, AWS, BigQuery, dbt, Python, SQL, Airflow, Fivetran, Airbyte, and Databricks. My focus is not just moving data from point A to point B. I design reliable data systems that are automated, scalable, well-modeled, and trusted by business teams. 𝐖𝐡𝐚𝐭 𝐈 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 ✅ 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Lakehouse, Warehouse, Dataflows Gen2, pipelines, notebooks, semantic models, Medallion architecture, and Power BI-ready data layers. ✅ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, SQL Server, and Azure Synapse architecture. ✅ 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 API ingestion, database replication, SaaS integrations, file ingestion, batch jobs, incremental loads, and scheduled workflows. ✅ 𝐝𝐛𝐭 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Staging, intermediate, marts, incremental models, tests, documentation, metric definitions, and business logic standardization. ✅ 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 Airflow, Dagster, AWS Lambda, Glue, Step Functions, ADF, CI/CD, monitoring, retries, alerts, and production workflow automation. ✅ 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 Deduplication, reconciliation, schema drift handling, validation rules, MDM, Golden Record logic, RBAC, access control, and audit-ready reporting layers. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built a centralized Fabric platform with Lakehouse, Warehouse, Dataflows, pipelines, semantic models, and Power BI reporting layers for a global organization with fragmented reporting sources. 𝐍𝐞𝐚𝐫 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Designed operational pipelines into Snowflake with incremental ingestion, schema change handling, deduplication, retries, and reliable dbt-based reporting models. 𝐌𝐨𝐝𝐞𝐫𝐧 𝐒𝐚𝐚𝐒 𝐝𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤 Centralized HubSpot, Stripe, GA4, Google Ads, Salesforce, MongoDB, and product data into BigQuery/Snowflake using Fivetran, Airbyte, dbt, Dagster, and Metabase. 𝐋𝐞𝐠𝐚𝐜𝐲 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐜𝐥𝐨𝐮𝐝 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 Led migrations from SQL Server, SAP BW, Oracle, Hadoop, and on-prem systems into modern cloud warehouses with optimized performance and automated workflows. 𝐀𝐖𝐒 𝐝𝐚𝐭𝐚 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Built automated workflows using S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, and Python to reduce manual reporting and improve pipeline reliability. 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 Microsoft Fabric, Snowflake, BigQuery, Redshift, Databricks, Azure Synapse, PostgreSQL, SQL Server, Oracle, SAP BW, Hadoop, dbt, Python, SQL, Airflow, Dagster, Fivetran, Airbyte, ADF, SSIS, Talend, AWS S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, Power BI, Tableau, Metabase, and Looker. You should reach out if you need a senior data engineer to: ✅ Build a cloud data warehouse or lakehouse ✅ Migrate legacy systems to Snowflake, Fabric, BigQuery, or AWS ✅ Fix unreliable ETL/ELT pipelines ✅ Design dbt models and trusted reporting layers ✅ Automate manual reporting workflows ✅ Integrate APIs, CRMs, ERPs, databases, and SaaS platforms ✅ Build production-ready data infrastructure for analytics and BI If your data stack is messy, slow, or hard to trust, send me a message. I’ll help you map the cleanest path from scattered systems to a reliable data platform.