github.com/andromad1 Experience summary: - Team Leader / Senior Developer - 10+ years of experience - Languages: Java (SE - including multi-threading, sockets and URL-connections programming, JDBC; EE - including JSP, servlets, JPA, JTA, JAXB, JMS, RESTful-WS), SQL (including stored procedures, optimization), JavaScript - Application frameworks: Spring (core, web-mvc, data, boot) - ORM frameworks: MyBatis, Hibernate - Mobile programming: Android OS (SQLite, Retrofit, Dagger, Google Maps API), AOSP - web-skills: jQuery, AJAX, HTML, CSS, XML, XSL/XSLT, JSON - Application Servers: Glassfish, Tomcat - RDBMS: Sybase ASE, Sybase IQ, H2 - Big Data, NoSql: Hadoop (HDP 2.3 - flume, hive, hdfs, Solr, Hbase, kafka) - Data modeling tools: PowerDesigner - Tooling: SVN/Git, Maven/Ant, Jenkins/Hudson - Linux: Ubuntu - Google Cloud Platform - Project tracking tools: Jira, Redmine - IDEs: IntelliJ IDEA, Android Studio, NetBeans, Eclipse - Designing DOM and application architecture - Business analysis

Core Java & Frameworks Proficient in Java SE/EE (Java 8+), including lambda expressions, streams, collections, and concurrent programming (e.g., ThreadPoolExecutor, CompletableFuture). Experienced with Java frameworks: Spring Boot (for microservices), Spring Cloud (service discovery, config), and MyBatis/Hibernate (ORM for database interaction). Familiar with build tools like Maven and Gradle for dependency management and project packaging. 2. Data Processing & Pipelines Skilled in data integration tools: Apache Kafka (real-time data streaming) and Apache Flink/Spark (distributed batch/stream processing with Java APIs). Able to design ETL (Extract, Transform, Load) workflows using tools like Talend or custom Java code to clean, standardize, and load data into data warehouses. Knowledge of data serialization formats: JSON, Avro, Protobuf, and Parquet for efficient data storage and transmission. 3. Data Storage & Databases Expertise in relational databases: MySQL, PostgreSQL, and Oracle (writing optimized SQL, indexes, and stored procedures). Familiar with NoSQL databases: MongoDB (document storage), Redis (caching/real-time data), and HBase (distributed columnar storage for big data). Experience with data warehouses: Apache Hive and ClickHouse for large-scale data analytics and querying. 4. DevOps & Deployment Proficient in containerization and orchestration: Docker (container packaging) and Kubernetes (cluster management for microservices). Skilled in CI/CD pipelines: Jenkins, GitLab CI, or GitHub Actions for automated building, testing, and deployment. Knowledge of monitoring tools: Prometheus and Grafana (for system metrics) and ELK Stack (Elasticsearch, Logstash, Kibana) for log analysis. 5. Data Governance & Quality Understand data governance principles: data modeling (e.g., ER/ dimensional modeling), metadata management, and data lineage tracking. Able to implement data quality checks (e.g., completeness, accuracy) using Java-based validators or tools like Great Expectations. Familiar with data security practices: SSL/TLS for data encryption, role-based access control (RBAC), and compliance with standards like GDPR/ISO 27001.

17+ Years of experience in Software Product Development, I have great interest in technologies, I am always keep myself aware of new technologies and learn them to apply in Project for better quality and performance. Worked in product based company for 17 years, With good experience in Core Java, Spring Boot and RESTful Java backend & Angular and React frontend. Deployed and manage various applications on AWS and Google Cloud Worked on DBMS with exposure of mysql, postgres, oracle and mongodb. Quick learner of new technology, Leveraging docker container with kubernetes to deploy and manage applications. Good knowledge familiar with SVN, CSV, Perforce and Git version control repo.

I help companies design, build, and modernize scalable data platforms that turn raw data into reliable analytics, automation, and AI-ready products. I’m a Senior Data Engineer / Cloud Data Engineer with 9+ years of experience building production-grade data pipelines, lakehouse platforms, ETL/ELT systems, cloud data warehouses, real-time streaming pipelines, and analytics-ready data models across AWS, Azure, GCP, Databricks, Snowflake, Redshift, BigQuery, SQL Server, and modern AI/GenAI workflows. My strongest work is in: • Cloud Data Engineering: AWS Glue, Lambda, S3, Redshift, Athena, EMR, Step Functions, Azure Databricks, ADLS, ADF, Synapse, GCP BigQuery, Dataflow, Pub/Sub • Databricks & Lakehouse: PySpark, Delta Lake, Unity Catalog, Medallion Architecture, Bronze/Silver/Gold pipelines, performance tuning, partitioning, Z-Ordering • ETL / ELT Pipeline Development: Python, SQL, PySpark, dbt, Airflow, Dagster, Spark, Kafka, APIs, batch and near-real-time ingestion • Data Warehouse Modernization: SQL Server, SSIS, Oracle, legacy ETL migration to Databricks, Snowflake, Redshift, and BigQuery • Data Modeling & Analytics: dimensional modeling, star schema, fact/dimension tables, semantic layers, Power BI, Tableau, Domo, QuickSight • Data Quality & Governance: data validation, reconciliation, monitoring, lineage, metadata, access control, CI/CD, automated testing, and production support • GenAI / AI Data Platforms: RAG pipelines, vector search, embeddings, LangChain, LangGraph, LLM workflows, AI-ready datasets, and enterprise knowledge platforms I specialize in solving messy, real-world data problems: broken pipelines, slow SQL, unreliable dashboards, disconnected systems, manual reporting, poor data quality, and cloud migration challenges. I can take a project from requirements gathering to architecture, development, testing, deployment, documentation, and long-term support. What clients can expect from me: • Clean, maintainable, production-ready code • Strong communication and clear project ownership • Scalable cloud architecture designed for performance and cost efficiency • Reliable pipelines with monitoring, error handling, and documentation • Business-focused delivery, not just technical implementation • Fast ramp-up on existing systems, data models, and business logic I have worked across banking, aviation, energy, SaaS, analytics, and enterprise data platform environments, supporting teams with data migrations, reporting modernization, cloud warehouse builds, Databricks lakehouse development, Domo to Redshift migration, SQL Server to Databricks migration, real-time streaming pipelines, and AI/ML data infrastructure. If you need a data engineer who can own the work end-to-end, communicate clearly, and deliver reliable systems that your business can trust, I’d be happy to help.

🚨𝐆𝐞𝐭 𝐚 𝐟𝐫𝐞𝐞 𝟑𝟎/𝟔𝟎𝐦𝐢𝐧 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 to explore your idea, streamline your tech roadmap, or uncover automation opportunities. Let’s schedule a Zoom call or chat - I’m available Monday to Friday. As the founder of Thrive.io and a hands-on Full Stack Developer with over 10+ years of experience, I help startups and enterprises build, automate, and scale intelligent platforms across 𝐅𝐢𝐧𝐓𝐞𝐜𝐡, 𝐇𝐞𝐚𝐥𝐭𝐡𝐓𝐞𝐜𝐡, 𝐒𝐚𝐚𝐒, 𝐀𝐈, and 𝐞𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞. I stay deeply involved from idea to launch - ensuring every solution we build is scalable, secure, and driven by real-world outcomes. 🔥 Got an IDEA? 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐰𝐢𝐭𝐡 "𝐈𝐃𝐄𝐀" 𝐚𝐧𝐝 𝐈’𝐥𝐥 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐥𝐲 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐫𝐞𝐟𝐢𝐧𝐞 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐜𝐨𝐧𝐜𝐞𝐩𝐭 𝐨𝐫 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐧 - 𝐧𝐨 𝐬𝐭𝐫𝐢𝐧𝐠𝐬 𝐚𝐭𝐭𝐚𝐜𝐡𝐞𝐝. 𝐊𝐞𝐲 𝐀𝐈/𝐌𝐋 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 & 𝐑𝐞𝐬𝐮𝐥𝐭𝐬: 1️⃣ Parkify – AI-Driven Smart Parking System → Reduced average parking search time by 50% via real-time analytics and predictive routing → Integrated IoT sensors + ML algorithms to detect space availability and guide drivers dynamically → Implemented mobile app for smart navigation & auto-payments → Tech stack: Python, TensorFlow, React Native, AWS, PostgreSQL, IoT 2️⃣ Altis AI – Personalized AI Workout Assistant → Built custom deep learning recommendation engine to generate adaptive workout plans based on biometric feedback → Achieved 76% retention post-lockdown with personalized health tracking → Deployed NLP for coaching prompts + real-time feedback → Stack: Python, PyTorch, FastAPI, React, AWS Lambda 3️⃣ FinGen – ML-Powered Digital Health Platform → Developed a Bayesian inference engine using pedigree history to detect hereditary cancer risk → Integrated LLM-based Q&A assistant for medical staff → Enabled early diagnosis for over 80% of treatable cancer cases → Stack: Python, Django, BayesMendel, LLMs, PostgreSQL 𝐂𝐨𝐫𝐞 𝐀𝐈/𝐌𝐋 𝐒𝐭𝐚𝐜𝐤: AI/ML: LLMs (GPT-4, Claude, Llama3), RAG, Transformers, Scikit-learn NLP: Spacy, NLTK, LangChain, Haystack, SentenceTransformers Deep Learning: CNNs, RNNs, LSTMs, Attention-based models Automation: Custom AI Agents, n8n, LangGraph, Zapier Data Engineering: Pandas, Spark, Airflow, Postgres, MongoDB Frontend: React, Next.js, Vue.js, TypeScript, Tailwind Cloud & DevOps: AWS, Docker, GitHub Actions, Terraform What I Build: ✔️ AI-Powered Chatbots & Agents ✔️ LLM Apps (with RAG / fine-tuning) ✔️ Predictive Analytics & Personalization Engines ✔️ Full-Stack Web Platforms ✔️ Custom AI Integrations (Voice, Text, Image, Video) ✔️ IoT + AI Systems (Real-time Data Inference) ✔️ SaaS MVPs for FinTech, HealthTech, EdTech ✔️ Process Automation with ML/NLP Industries I Serve: FinTech | HealthTech | Smart Mobility | eCommerce | SaaS | AI Research 𝐈’𝐦 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐌𝐨𝐧𝐝𝐚𝐲 𝐭𝐨 𝐅𝐫𝐢𝐝𝐚𝐲 - 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐰𝐢𝐭𝐡 "𝐈𝐃𝐄𝐀" 𝐚𝐧𝐝 𝐰𝐞’𝐥𝐥 𝐬𝐜𝐡𝐞𝐝𝐮𝐥𝐞 𝐲𝐨𝐮𝐫 𝐟𝐫𝐞𝐞 𝟑𝟎/𝟔𝟎𝐦𝐢𝐧 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐬𝐞𝐬𝐬𝐢𝐨𝐧 𝐯𝐢𝐚 𝐙𝐨𝐨𝐦 𝐨𝐫 𝐂𝐡𝐚𝐭.

I specialize in Big Data engineering, bringing three years of hands-on experience to help organizations harness their data potential. Currently working in a dynamic environment, I focus on optimizing data processes and enhancing system performance. My journey has involved continuously improving my skill set to stay ahead in this rapidly evolving field. I excel at implementing data solutions that transform raw information into actionable insights, enabling businesses to make informed decisions. If you're seeking a detail-oriented engineer who values continuous learning and aims to deliver efficient and robust data architectures, I would love to discuss your project and explore how I can contribute to your success.

I'm an AI content creator, video editor, and passionate filmmaker with a strong foundation in cutting-edge technology and creative storytelling. My journey has been a seamless blend of innovation and art, where I transform written concepts into captivating visual experiences. ✅ Proven Expertise in AI-Driven Content Creation: I have successfully created ultra-realistic AI-generated ads, promotional videos, and storytelling content for various clients. My proprietary in-house tool integrates state-of-the-art AI models like Kling, Runway, Minimax, Flux 1.1 PRO, Claude, ChatGPT, ElevenLabs, and more, ensuring top-notch quality and consistency. 🎬 Video Production & Editing: From concept development to the final polished product, I handle every aspect of video creation. I specialize in: * AI-generated video ads (Google Ads, YouTube Ads, Social Media Posts) * Faith-based content for YouTube channels (Improving engagement, 20k+ views, 5%+ CTR, 200+ subscribers) * Story-driven narratives (e.g., The Hitchhiker's Guide to the Galaxy pilot episode, Game of Thrones fan-fiction series) 📚 Certifications & Training: * Advanced Certification in Generative AI & Prompt Engineering (IISc) – Mastering AI model development and prompt engineering. * AI Filmmaking Courses – Hands-on experience with character modeling, scene generation, voice synthesis, and video production. * Screenplay Writing Courses – Adapting written content into engaging screenplays for video storytelling. 💡 What I Offer: * High-quality AI-generated videos at a competitive rate ($50 per ad). * Scalable production capacity (up to 20-25 ads per month). * Access to licensed stock footage, SFX, motion graphics, and music via MotionArray.

With a strong background in leveraging vast datasets to extract valuable insights, I have a proven track record of transforming massive amounts of information into actionable intelligence. Throughout my career, I have worked extensively with data lakes hosting over 65 petabytes, gaining expertise in big data development and analytics. My involvement spans the entire software development lifecycle, including analysis, design, development, integration, testing, and maintenance of diverse cloud-native data-centric solutions.

I help businesses turn messy, inconsistent data into clean, analysis-ready datasets, handling missing values, duplicates, formatting errors, and inconsistent schemas in Python (Pandas, NumPy). I also build machine learning models when a project calls for prediction or classification, backed by a Statistics background and an ongoing Master's in Data Science. Recent work: built a BERT-based regression model predicting cognitive load from video metadata (R² = 0.81), and a Wikipedia edit-analytics pipeline processing 3.8GB of data using a Lambda Architecture (Hadoop, Spark, HBase). I'm responsive, detail-oriented, and treat every dataset like it needs to hold up under scrutiny because it usually does. Whether you’re trying to win work, list your services, I can help.

As a **Senior Solutions Architect and Data Security Specialist**, I bring over a decade of experience helping businesses design, implement, and secure their data and cloud infrastructures. My passion lies in developing cutting-edge solutions that drive agility, flexibility, and efficiency for enterprises, spanning industries like Finance, Telecom, Retail, Healthcare, and Defense. ### Core Expertise: - **Cloud Architecture & Solutions**: Deep expertise in **AWS**, **GCP**, and **Azure**, focusing on infrastructure design, cost optimization, and security. I excel in deploying scalable, resilient architectures that support a wide array of business needs. - **Data Security & Governance**: From **DataSecOps** strategies to implementing data governance best practices, I ensure that sensitive data remains protected and compliant with industry standards. My approach integrates security into every layer of the data pipeline, from storage to processing. - **Big Data & Real-Time Analytics**: I have worked extensively with platforms like **Kafka**, **Hadoop**, **Cloudera**, and **Snowflake** to build real-time data processing pipelines. Whether it’s for real-time analytics or predictive modeling, I help companies unlock the value of their data at scale. - **Kubernetes & Containerization**: Expert in orchestrating microservices architectures with **Kubernetes**, Docker, and **OpenShift**. I have led Kubernetes deployments on **AWS**, **EKS**, and on-prem environments, ensuring optimized resource management and high availability. ### Professional Journey: #### **Senior Customer Success Engineer – Satori Cyber (2024 - Present)** I lead the technical side of customer relationships, from onboarding through ongoing support. My role involves delivering tailored **DataSecOps** strategies, embedding security in all data processes. I oversee environment separation, automate continuous monitoring, and conduct security reviews to guide clients through best practices for securing data pipelines. - Increased customer retention by 30% through proactive support and automation tools that reduced security risks. - Spearheaded best practices for continuous security testing and data governance. #### **Principal Solutions Architect – Vertica (2022 - 2024)** I led technical discussions, presented business and technical value propositions, and managed client-specific Proof of Concepts (PoCs). I designed database models, tuned SQL queries, and configured environments for real-time data streaming using Kafka. I also deployed Kubernetes (K8S) and managed Vertica Operators. - Developed and presented demos for industries such as Telco, E-Commerce, and Flight Tracking, showcasing real-time streaming data with Kafka. - Designed real-time demo environments across multiple industries. #### **Solutions Architect – PingCap (2021 - 2022)** I drove customer engagement with in-depth presentations of PingCap's **HTAP** Database (TiDB). My efforts included PoC initiatives, where I validated customer use cases and ensured seamless deployments on **AWS**. - Built the first-ever real-time HTAP demonstrator for PingCap. - Documented best practices for deploying TiDB on AWS EKS using Terraform. #### **Senior Solutions Architect – Information Builders/Tibco (2020 - 2021)** Focused on aligning pre-sales strategies for **Master Data Management** (MDM) and **Data Governance** solutions with sales teams, converting opportunities into customers. Led PoCs and collaborated with product development to address customer pain points. #### **Senior Technical Sales Engineer – MariaDB (2018 - 2020)** Supported sales teams in managing DBMS solutions, focusing on Kubernetes Operator deployment and RedHat certification for OpenShift Marketplace. - Secured Beta customers for Kubernetes Operator and facilitated product innovation. ### Technical Skills: - **Big Data**: Hadoop (Hbase, Hive, Flume), Kafka, Cloudera, Snowflake, ElasticSearch. - **Cloud Platforms**: AWS (S3, RDS, Iceberg, Kinesis), GCP, Azure, Kubernetes. - **Data Security**: Identity Management, DataSecOps, Data Governance, Encryption. - **Database Management**: PostgreSQL, Oracle, NoSQL, Cassandra, MongoDB, MySQL. - **Programming**: Java, Python, Shell scripting, Terraform, Ansible, REST APIs. - **DevOps & Automation**: Docker, Kubernetes, OpenShift, Jenkins, CI/CD pipelines. ### What I Offer: - **Cloud & Infrastructure Consulting**: Design scalable, cost-effective cloud architectures with an emphasis on security and high availability. - **Data Security Audits**: Conduct security audits, providing actionable insights to help clients mitigate risks and ensure compliance. - **Big Data Analytics**: Implement real-time data pipelines using Kafka, Snowflake, and Hadoop, enabling businesses to leverage their data for insights and decision-making. - **Kubernetes Deployments**: Expertise