I can help you in building your data warehouse or migrating it to the cloud. I can also help you in creating jobs and pipelines using : - Spark - Kafka - NiFi - Informatica PowerCenter - Oracle DB - Splunk

𝟏𝟔+ 𝐘𝐞𝐚𝐫𝐬 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 | 𝟓𝟎+ 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 (𝐔𝐁𝐒, 𝐀𝐯𝐚𝐲𝐚, 𝐒𝐀𝐏 𝐋𝐚𝐛𝐬) | 𝟗𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 I help businesses connect and automate the systems that run their operations — SAP, Oracle, Salesforce, cloud backends, and AI-powered workflows — so teams spend less time on manual work and more time on what matters. 16+ years building production systems for enterprise clients including UBS, Avaya, GE, IBM, and SAP Labs. 90+ projects delivered across banking, manufacturing, e-commerce, and enterprise software. I've led both hands-on development and full project delivery, working with distributed teams across the US, UK, Spain, and Southeast Asia. What I bring to your project:- Fast, clear communication and realistic timelines — no scope surprises Enterprise-grade engineering practices, applied at small-business speed and budget Comfort owning a project end-to-end: architecture, build, deployment, and support Technical Expertise:- 16+ years in Java/J2EE, Python, Go, and Shell scripting. Extensive experience in Microservices architecture using Spring Boot, Spring Integration, and Spring Cloud. GenAI & RAG Experience: 5+ years developing and integrating chatbot applications (RAG) using LLMs like Lang chain, Mistral 7B, and Llama. Worked extensively with 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧, 𝐂𝐫𝐞𝐰𝐀𝐈, 𝐀𝐮𝐭𝐨𝐆𝐞𝐧, 𝐀𝐭𝐨𝐦𝐢𝐜 𝐀𝐠𝐞𝐧𝐭𝐬, Integrated LLM providers such as OpenAI, Anthropic for embeddings and used vector databases like Chroma DB, Pinecone. Cloud Platforms Expertise: 11+ years with AWS and GCP, managing EC2, S3, ELB, Auto-Scaling, IAM, GKE, VPC, and Cloud Watch. Automated deployments using CircleCI, Terraform, and Docker. Configured AWS Security Groups and IAM. Services like Sagemaker, Kendra, and Bedrock, Lambda, DynamoDB, SNS, SQS SAP Integration: 8+ years integrating SAP with Hybris for B2B/B2C, SAP CPQ, Order Management, Warehousing, and more. Migrated SAP Hybris from 5.7 to 6.0.7 and integrated with AEM. Worked on SAP Marketing APIs and SAP HANA UI Technologies: 10+ years with HTML, CSS, JavaScript, Node.js, Angular.js, React.js, Vue.js, and more. Developed internal and external services using Node.js, integrating UI components with Kafka streams. Integration Products: 6+ years with Mule, Software AG, Fuse, TALEND, focusing on API development (SOA and REST), connectors, and integration with Salesforce. Kubernetes and Rancher: Managed clusters with Kubernetes, using Jenkins for deployment on Google Cloud. Developed Python scripts for deploying microservices and configuring cloud services. Documentation and Tendering: Provided RFI, ITT, RFP, SOW, and SOC documentation. Estimated costs and identified operational cost controls on cloud platforms. Build and Deployment Management: Expertise with Hudson, Jenkins, CircleCI, and Anthill Pro for continuous integration and deployment automation. Configured Kubernetes for automated deployments on Linux via Docker. Oracle Cloud Solutions: Set up Oracle Cloud Compute IAAS, integrating with Oracle EBS, CRM, Financials, HRMS, SCM, and more. Implemented SSO between Oracle Fusion HCM and Taleo, and integrated HCM with Taleo.

Hey there! 👋 I'm a Data Engineer with about 6 years of hands-on experience. I specialize in Python, building scalable ETL pipelines using big data tools and efficiently process data that scales quick . Familiar with different types of RDBMS, Warehouses, Lakes and Lake houses architectures. Besides dealing with the technical stacks I have also been heavily involved in analytical engineering on how to best automate the generation of KPIs with smooth workflows I have worked in different domains such as Banking, Marketing , Telecom and Ad-Tech as either being employed or freelancing. I've also worked with LLMs (including RAG pipelines), and have the experience developing Machine Learning models. I have the desire for turning raw data into real, actionable insights ! Here's a snapshot of what I bring to the table: ✅ Languages: Python, SQL, Java, SSJS ✅ AWS Cloud: S3, AWS EMR, EC2, Lambda ✅ Data Warehouse & Lakehouse Architectures: Oracle, Snowflake, Iceberg ✅ Databases: PostgreSQL, Microsoft SQL Server, Oracle, Apache Hive, HBase ✅ Data Processing: Real-Time & Batch ✅ Big Data & ETL Stacks: Apache Airflow, Apache Kafka, Spark (Scala/Python), dbt, Apache NiFi, SSIS ✅ Containers: Docker, Kubernetes ✅ CRM Tools: Salesforce Marketing Cloud ✅ Machine Learning Algorithms: Logistic Regression, Classification, Computer Vision, NLP, Time Series Forecasting, Hyperparameter Tuning, Deep Learning ✅ ML Frameworks & Libraries: TensorFlow, Keras ✅ Tools: VS Code, GitHub, Jupyter Notebook

Are you facing slow deployments, unreliable infrastructure, or complex cloud challenges? I design scalable, secure DevOps solutions on AWS & Azure to help you ship faster, reduce downtime, and optimize cloud costs. With over 15 years of experience in DevOps and Cloud Architecture, I help businesses design, build, and manage secure, scalable infrastructure on AWS and Azure, so they can deploy faster, minimize downtime, and reduce costs. How I can support your business: ✅ Cloud Infrastructure & DevOps Engineering - Certified AWS Solutions Architect – Professional & CKA - Expertise in AWS and Azure architecture, automation, and optimization - CI/CD pipelines built for 50+ projects using Jenkins, GitLab CI, and GitHub Actions - Infrastructure as Code (Terraform, CloudFormation) ✅ Cloud Migration & Automation - Seamless migrations to AWS and Azure with minimal downtime - Serverless architecture design - Scalable, cost-effective deployment strategies ✅ Security & Compliance - Support for SOC2, PII, and security audits - Free 2-hour cloud security audit to identify risks ✅ Performance & Monitoring - High-availability systems design - Performance tuning and cost optimization - Monitoring solutions using Prometheus, Grafana, and Azure Monitor ✅ Bonus Expertise - Business Intelligence (PowerBI, Pentaho, Tableau) - Database architecture and optimization (Oracle, PostgreSQL, MySQL) - Big Data processing (Hadoop, Spark) Why work with me? ✔️ 15+ years of hands-on DevOps and Cloud experience ✔️ Speaker at Pentaho Community Meeting 2017 in Germany ✔️ Trusted by enterprises and startups to deliver reliable, scalable solutions ✔️ I work like a partner, not just a freelancer — your success is my priority

Results-driven Cloud Solution Architect with deep expertise in Data Engineering, DevOps, and AI Engineering, specializing in LLM (Large Language Models), LangChain, and RAG (Retrieval-Augmented Generation). Adept at designing scalable cloud-native solutions, optimizing data pipelines, and implementing cutting-edge AI integrations to drive business innovation. Core Skills & Expertise: ✔ Cloud Architecture & DevOps – AWS, Azure, GCP | Kubernetes, Docker, Terraform, CI/CD ✔ Data Engineering – Big Data (Spark, Hadoop), ETL/ELT, Data Lakes/Warehouses (Delta Lake, Snowflake) ✔ AI/ML Engineering – LLM (GPT, Llama 2), LangChain, RAG, Vector Databases (Pinecone, FAISS) ✔ Generative AI & NLP – Fine-tuning, Prompt Engineering, AI Agent Development ✔ Integration & Automation – API-first Architectures, Event-Driven Systems (Kafka), MLOps ✔ Optimization & Scalability – High-Performance AI/Data Systems, Cost-Efficient Cloud Deployments Key Contributions: Designed AI-powered cloud solutions leveraging LLMs, LangChain, and RAG for enterprise applications. Built scalable data pipelines for real-time analytics and AI model training. Implemented MLOps & DevOps best practices to streamline AI/ML deployments. Developed custom AI agents for automation, knowledge retrieval, and intelligent decision-making. Passionate about bridging the gap between cloud infrastructure, data engineering, and AI innovation to deliver transformative business solutions.

Hi🖐🏻 Want to design a systems as per your business workflows? As a Software & Database Architect I will Orchestrate it for you that will work flawlessly & 100% accurate. Drop me an invite or a DM. I will send you a personalized Loom video back no generic reply, just a clear plan for your project Who I am: A data driven AI and Systems Design Architect with 10+ YoE & deep expertise in distributed systems, cloud platforms, intelligent data architecture, and scalable backend engineering. Experienced in architecting end-to-end AI-powered systems utilizing LLMs, hybrid RAG frameworks, graph databases, vector search, and high-performance data infrastructure. Passionate about building resilient, scalable, and future-ready platforms that combine advanced AI capabilities with strong system engineering foundations. Tools & Technologies Backend & Data: Python, SQL, Node.js, Typescript Architecture Styles: Distributed Systems • Microservices • Event-Driven (EDA) • Hexagonal • Serverless Databases: PostgreSQL, MySQL, Vector DBs Graph DB, Mongo DB, Neo4j AI & LLMs: OpenAI, RAG pipelines, vector databases, graph database Cloud & Ops: Linux servers, Docker, CI/CD No-Code / Low-Code: Bubble, Retool Automation Platforms: n8n, Make , Zapier What I can deliver: AI Automation | Calude Code | AI System|end-to-end AI-powered workflow automation, Agentic systems for decision-making and task execution CRM, ERP, and third-party API integrations with Scalable automation for high-volume operations | Knowledge Graph | Neo4j | RAG | AI Architect | Dropbox API | ETL | ETL Pipeline | Data Warehousing | BigQuery | Snowflake | Apache Airflow | Kafka | AWS Cloud | Google Cloud Platform | BigQuery | Dataflow | Docker | Kubernetes| DevOps | databricks | Software Architecture & Design

Seasoned Senior Data Engineer with 10 years' expertise crafting and implementing sophisticated data enrichment solutions. Proficient in developing and architecting robust data systems within production environments, utilizing an array of data engineering tools such as Python, SQL, Pyspark, Scala, and more. Specialized in constructing top-tier ETL Pipelines leveraging airflow, AWS Glue, and Apache Spark for seamless data processing. Proficiency in building and managing CI/CD pipelines, automating deployment workflows, and ensuring seamless integration and delivery of data engineering solutions. Extensive proficiency in leveraging cloud-based technologies within the AWS ecosystem—expertise spans S3, Glue, EMR, Athena, Redshift, Lambda functions, and RDS. Proficiently design and extract data from diverse sources, optimizing it for Data Scientists' use in constructing machine learning models to predict various customer-centric scenarios. Adept at remote work environments, delivering consistent excellence in collecting, analyzing, and interpreting extensive datasets. Skilled in data pipeline development using Spark, managing data across DWH, Data Marts, and Data Cubes within SQL, NO-SQL, and Hadoop-based systems. Proficient in building Python scrapers via Scrapy and Beautiful Soup to streamline data acquisition processes. Extensive freelance experience has broadened my expertise, enabling me to collaborate with diverse clients on challenging data engineering projects. This exposure has strengthened my capabilities and equipped me to tackle any forthcoming challenges as a seasoned data engineer.

I have 8+ years of experience in data analytics, visualization and RPA. I have used variety of tools, including Python, R, Google Analytics, Tableau, Power BI, Excel, Google Charts, matplotlib, seaborn, and Plotly to analyze and visualize data for a wide range of projects. In addition to my strong data skills, I also have expertise in Robotic Process Automation (RPA), and have worked on numerous projects using tools such as UiPath, Automation Anywhere, and Power Automate. EXPERTISE AND EXPERIENCE:- ✅Data Analytics § Analytics Strategy: Define your analytics roadmap, ROI, and implementation plan before you kick off the project and also provide you with best practices that can put you on the path to success. § Integration: Excel, on-premises databases, cloud applications, no matter where your data lives or what form it is in. § Data Management □ Expert in data management: data acquisition, data cleansing, and data harmonization. □ Define business objectives and key measurements. Extract data, perform data mashups, and build reports/dashboards that are ready to consume. § Custom Solution: Design, develop, and implement custom solutions that allow you to: □ Turn business data into insights □ Get more out of current business systems ✅Data Visualization (Power BI / Tableau): Gain real-time insights through a picture of performance in your organization showing Key Performance Indicators, metrics, and trends. ✅Big Data Engineering: Developing Data Lakes and managing Data Hubs, Web Scrapping, using Azure or AWS cloud services. ✅Deploy RPA components including bots, robots, development tools, code repositories, and logging tools. ✅Configure Robotics Automation software using core workflow principles in line with best practices. With expertise in RPA process implementation using different tools such as UI-Path. ✅Power Apps: Build custom, high-productivity business apps with minimal coding. PowerApps gives you the building blocks you need to create new apps in days, not months. Automate and create apps from data sources like SharePoint, Dropbox, and Salesforce, and deploy instantly across mobile and desktop. ✅Power Automate and UiPath: Automating the end-to-end process § Scripting and coding in any RPA tool to resolve automation issues § Building and configuring automations using the visual workflow provided by Power Automate and UiPath § Testing and debugging automation solutions to ensure they are functioning correctly. § Providing support and assistance to users of the automation solutions ✅Visualization tools: Power BI, Tableau, Qlik, Seaborn, Plotly, Matplotlib, ggplot,QGIS. ✅Data Mining tools: Whatagraph, Adaptive Insights, Dundas BI, Tweepy, Scrapy, Beautiful Soup (BS4), Tesseract, Grobid, Google-Vision, Kafka, Hadoop, Azure Data Factory, Bricks, SAAS, SPSS, QGIS, Snowflakes, Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon OpenSearch Service, AWS Glue DataBrew. PROJECT HIGHLIGHTS:- ✅Supply Chain / Warehouse Management / Inventory Management § Model to suggest optimal schedule delivery options ✅Analytics and Visualization § Customer Analytics and Customer Journey Analytics: (Digital Analytics): □ Marketing analytics project to support of A|B Testing and Customer Journey framework. □ E-commerce analytics using Tableau and power of forecasting and clustering models. § Analytics for EdTech organization: Merged data from various sources for a leading EdTech organization to build a customer funnel and churn model, creating dashboards using complex Tableau functions § Prevent and control disease algorithms Geo Visual Analytics: Applied machine learning and Geo-Visual analytics of Tableau to execute a disease control project for various companies § CPG Data Analytics and Dashboard: Gathered and analyze data from various sources to produce transformational insights through Sales, Marketing, Inventory, Supply chain, Finance, and Operations Dashboards for a CPG company § Implemented automated employee onboarding and offboarding processes using Power Apps, Power Automate, and Power BI § Used entity extraction to automate lease audit processing § Improved sales efficiency by automating processes and reducing workload by 75% per salesperson § Utilized Hadoop cluster and HDFS to process large sets of claim and remittance data for healthcare analytics ✅Automate Processes § Implemented an automated end-to-end process for market data evaluation and stock buy/sell recommendations for a top-ranked company in fund performance. § Gathered data from thousands of websites to provide valuable insights for hedge fund managers in making investment decisions. § Developed an OCR (Optical Character Recognition) application in Java wrapper, Tess4J. § Implemented an automated accounts receivable process for an accounting firm serving over 500 gas stations.

Certifications and Achievements: ⚡ AWS Certified Solutions Architect Professional ⚡ AWS Certified Developer – Associate ⚡ AWS Certified Solutions Architect Associate ⚡ AWS Certified Cloud Practitioner ⚡ Total Earnings: $60K+ ⚡ Total Hours Worked: 3,428 DevOps Engineer with 4+ years of hands-on experience in Jenkins administration, including user management, role strategy, and plugin management. ● AWS Expertise: Strong foundational knowledge of AWS cloud services and the broader cloud ecosystem, enabling efficient resource utilization and optimization. ● Cloud Management: Delivered daily monitoring, management, and troubleshooting for cloud-hosted systems and services, ensuring high availability and performance. ● Automation Proficiency: Skilled in automating builds, deployments, validations, and configurations in public AWS environments, streamlining processes for improved efficiency. ● Infrastructure as Code (IaC): Extensive experience in writing and managing infrastructure as code using Cloudformation and Terraform, facilitating consistent and repeatable deployments. ● Robust Infrastructure Design: Designed and implemented 3-layer infrastructure configurations, including SSL installation on Linux servers, ensuring secure and efficient operations. ● Containerization Knowledge: Proficient in working with Docker and Kubernetes, enhancing application scalability and manageability through container orchestration. ● Big Data Technologies: Experienced in managing Hadoop Storage and Elastic MapReduce clusters, optimizing data processing and analytics workflows. ● Continuous Delivery: Implemented and managed continuous delivery systems and methodologies on AWS, promoting rapid and reliable software delivery. ● Analytical Insights: Provided analytics and forecasts for cloud capacity, conducting troubleshooting analyses to maintain uptime and enhance system performance. With a comprehensive skill set and a proven track record of delivering robust and scalable DevOps solutions, I am ready to help your organization achieve its cloud infrastructure and automation goals. Let's collaborate to drive efficiency and innovation in your projects.

Ryan is a certified solutions architect and engineer with almost two decades of experience and a proven track record spanning several industries. His clients range from scrappy startups to elite global banks and everything in between. He is a member of the AWS Partner Network and is an AWS Certified Solutions Architect - Professional. Equally comfortable in Azure and Google Cloud, Ryan has significant experience spearheading projects in the enterprise technology space. Recent projects include the AWS hybrid solutions architecture of a new physical facility for the world's largest printing company, spearheading the recent databricks migration for a FAANG technology company, and the complete deployment and management of technology infrastructure for the data science division of a US cellular carrier, Please note that although I am sometimes available for emergency situations, I am usually working on several projects at any given time and usually cannot accommodate requirements that need to be fulfilled yesterday. Provider Expertise: AWS/Azure/GCP Specialties: DevOps methodologies, team leadership, infrastructure as code Automation and Orchestration: CI/CD, Bazel, hermetic builds, containerization Compliance expert: HIPAA, PCI, GDPR Keyword alphabet soup: Databricks, Data Lake, Data Science, SageMaker, MLOps, Machine Learing, Terraform, Ansible, Kubernetes, Kafka, Elasticsearch, TensorFlow, Big Data, Data Lake, Data Warehouse, Blockchain, Machine Learning, Chef, Puppet, CloudFormation, Docker, Bash, Powershell, Python, Jenkins, Packer, Atlas, Hadoop, NoSQL, Ruby on Rails, PostgreSQL, MySQL, RightScale, OpenStack, Nginx, DNS, Apache, Ubuntu, Centos, RedHat, Nagios, AWS-CLI, HAProxy, ELB, VPN, Redshift, Glacier, S3, Shell, Git, OpsWorks, JIRA, RabbitMQ, NewRelic, Digital Ocean, BitBucket, etc...