Senior 𝔸𝕀/𝕄𝕃 ℝ𝕖𝕤𝕖𝕒𝕣𝕔𝕙𝕖𝕣 𝕒𝕟𝕕 𝕃𝕃𝕄 𝕋𝕣𝕒𝕚𝕟𝕖𝕣, I specialize in delivering AI-powered solutions and data-driven insights that help businesses innovate, optimize processes, and make informed decisions. 💡 What I Offer: ✅ 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: Your data deserves to be accurate, reliable, and ready for analysis. ✅ 𝗘𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗼𝗿𝘆 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 (𝗘𝗗𝗔): Discover hidden patterns and trends to make data-driven decisions. ✅ 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Create visually appealing dashboards and reports with tools like Tableau and Power BI. ✅ 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: Leverage Machine Learning to forecast trends and opportunities. ✅ 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Understand and predict trends, seasonality, and anomalies. ✅ 𝗦𝗲𝗻𝘁𝗶𝗺𝗲𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Gain insights from text data to understand customer opinions and behavior. ✅ 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺 𝗗𝗮𝘁𝗮 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: Extract valuable insights from Telegram channels for targeted analytics. ✅ 𝗟𝗟𝗠 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 / 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: prompt + rubric design, dataset QA, structured outputs with citations (where needed) ✅ 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗔𝘀𝘀𝘂𝗿𝗮𝗻𝗰𝗲: Mobile app testing, Web testing, Bug reports, Software functionality testing ⚙️ Tools & Skills: Programming: - Python 📌Pandas 📌NumPy 📌Scikit-learn 📌TensorFlow 📌PyTorch - SQL - Airflow/dbt/Spark - Docker Visualization Tools: 📌Tableau, 📌Power BI, 📌Matplotlib, 📌Seaborn 📌PCA Specialized Skills: 📌ETL pipelines 📌Time Series Forecasting 📌Data Mining 📌 Sentimental Analysis 📌Change Point Analysis 📌Prompt Engineering 📌LLM Training 📌Quality Assurance 🌟 Why Work with Me? I’m dedicated to providing high-quality results with attention to detail, clear communication, and a focus on delivering solutions that align with your business goals. Ready to transform your data into business success? Let’s collaborate and make data work for you!

Hello, I have more than 5 years of experience in architecting robust and large-scale data pipelines, optimizing data workflows, and delivering actionable insights to drive business growth. I am comfortable with all the tools available and all the cloud platforms. I have expertise in Pyspark, SQL, Python, Snowflake, DBT, Airflow, AWS, GCP, AZURE, Databricks, and data modeling too. What I offer: Data Pipeline Development: From ingestion to transformation and storage, I design efficient pipelines tailored to your specific needs. Database Management: Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) for seamless data management. Big Data Technologies: Proficiency in Hadoop, Spark, and other big data frameworks for processing large-scale datasets. Data Warehousing: Building and maintaining data warehouses (e.g., Amazon Redshift, Google BigQuery) for advanced analytics. ETL Processes: Implementing Extract, Transform, Load processes to ensure data integrity and reliability. Why choose me? Proven Expertise: Over 5 years solving complex data challenges across various industries. Quality Assurance: Ensuring high-quality deliverables that meet your expectations and business goals. Client Satisfaction: Dedicated to clear communication and delivering projects on time and within budget.

I am a Senior Data Engineer with over 5 years of experience in designing and implementing scalable cloud-based data platforms. My expertise spans SQL, Python, and a wide array of AWS services, including Glue, Lambda, and Redshift. I specialize in building efficient ETL/ELT pipelines and developing analytics solutions that empower businesses to harness their data effectively. My skills in dimensional and Data Vault modeling, along with tools like dbt and Airflow, allow me to create robust transformation frameworks that deliver analytics-ready data for enterprise reporting. If you need a data professional who can turn complex data challenges into actionable insights, let's connect. I am ready to elevate your data strategy and drive impactful results for your business.

Databricks | Azure Data Engineer | PySpark | Data Engineering Expert I am a Data Engineer with 5+ years of professional experience designing, building, and optimizing modern data platforms on Azure and Databricks. I have successfully delivered enterprise-grade data engineering solutions across industries, helping organizations build scalable, reliable, and cost-effective data pipelines. My expertise spans the complete data engineering lifecycle—from data ingestion and ETL/ELT development to data warehousing, performance tuning, orchestration, and cloud migration. I specialize in transforming raw, complex data into reliable datasets that empower business intelligence and advanced analytics. Core Expertise - Databricks (Workflows, Delta Lake, Unity Catalog, MLflow) - Apache Spark & PySpark - Azure Data Factory (ADF) - Azure Data Lake Storage (ADLS Gen2) - Azure Synapse Analytics - SQL & Advanced Query Optimization - Python - Delta Live Tables (DLT) - DBT (Data Build Tool) - Azure DevOps & GitHub - CI/CD Implementation - Data Modeling (Star & Snowflake Schema) - Performance Optimization & Cost Optimization - Data Migration (AWS Glue to Databricks, Legacy ETL Modernization) Services I Offer Databricks Development - End-to-end Databricks implementation - ETL/ELT pipeline development - Delta Lake implementation - Spark performance tuning - Workflow automation - Cluster optimization - Unity Catalog setup and governance Azure Data Engineering - Azure Data Factory pipeline development - ADLS architecture and implementation - Synapse Analytics solutions - Data lake and data warehouse design - Cloud migration and modernization Data Engineering Solutions - Batch and streaming data pipelines - Incremental data loading - Slowly Changing Dimensions (SCD) - Data quality validation - Data transformation using PySpark & SQL - Large-scale data processing Analytics & Reporting - SQL reporting - Power BI integration - Dashboard-ready datasets - Data mart creation Why Work With Me? ✅ 4+ years of hands-on enterprise experience ✅ Clean, scalable, and production-ready solutions ✅ Strong focus on performance optimization and cloud cost reduction ✅ Excellent communication with regular project updates ✅ On-time delivery with high-quality documentation ✅ Long-term support after project completion Tools & Technologies - Databricks - Apache Spark - PySpark - Delta Lake - Azure Data Factory - Azure Synapse Analytics - Azure Data Lake Storage (ADLS Gen2) - SQL - Python - DBT - Azure DevOps - GitHub - Power BI - Tableau - Hive Key Achievements - Improved data pipeline performance by 60% through Spark optimization and efficient data architecture. - Built highly scalable ETL pipelines processing 10GB+ of data daily with high reliability. - Delivered enterprise-grade Azure and Databricks solutions for global clients. - Reduced cloud infrastructure costs through cluster tuning, partition optimization, caching, and Delta Lake best practices. - Implemented CI/CD pipelines for automated deployment of Databricks notebooks and workflows. - Designed robust Bronze-Silver-Gold data architectures following modern Lakehouse principles. If you're looking for a reliable Data Engineer who can build scalable, optimized, and production-ready data solutions using Databricks, Azure, and PySpark, I'd be happy to help bring your project to life.

Hi, I'm a Professional Data Engineer specializing in robust data pipelines, analytics solutions, and automation systems. I transform complex data challenges into scalable, production-ready solutions that drive business value. ⭐⭐⭐⭐⭐ Core Specializations • Data Pipeline Development • ETL/ELT Process Design • Analytics & Visualization • Web Scraping & Automation • Data Warehouse Architecture • Full-Stack Web Development • API Development & Integration • AI/ML Integration ➡️ Complete Technology Stack: ✅ Modern Data Stack: dbt • Airflow • ELT Pipelines • Data Quality Testing • Data Modeling ✅ Analytics & Visualization: Tableau • Custom KPIs • Interactive Visualizations • Streamlit Applications ✅ Data Processing & Storage: Python (Pandas, NumPy) • SQL (MySQL, PostgreSQL, BigQuery) • Data Warehouse Design • Big Data Processing ✅ Full-Stack Development: Next.js • Vanilla JavaScript • Bootstrap/CSS • HTML5 • Django • FastAPI • REST APIs ✅ AI/ML Integration: LangChain • OpenAI APIs • Custom AI Tools • ML Model Integration • Intelligent Automation • AI-Powered Data Processing ✅ Automation & Extraction: Web Scraping (BeautifulSoup, Selenium) • ETL Automation • Custom Python Scripts • API Development ✅ DevOps & Tools: Git • CI/CD Pipelines • Docker • Testing & Documentation • Agile Methodologies 🚀 What Sets Me Apart: • End-to-end solutions from data ingestion to AI-powered dashboards • Scalable data pipelines with modern stack tools • Interactive web applications with AI integration • RESTful APIs connecting data services to frontend applications • Automated data quality checks and monitoring systems • Complete ETL/ELT solutions with real-time processing • AI/ML automation tools leveraging LangChain and OpenAI 📊 Proven Track Record: • Automated data pipelines processing millions of records daily • AI-powered analytics applications with LangChain integration • Interactive Tableau dashboards and Streamlit applications • Full-stack web applications with Django/Next.js • Custom APIs handling thousands of requests per minute • Comprehensive web scraping solutions with AI enhancement • Robust data quality frameworks with intelligent monitoring 🎯 Project Approach: Clean, maintainable code • Scalable solutions • Modern practices • Clear communication • Meeting deadlines • Continuous optimization 🏆 Why Choose Me: • Dual Expertise: Data engineering + full-stack development + AI/ML • Modern Tech Stack: Latest tools and frameworks including AI integration • End-to-End Solutions: Database to AI-powered user interfaces • Quality Focus: Clean code, testing, documentation • Business Value: Solutions driving real outcomes • Immediate Availability: Ready to start and deliver results Ready to transform your data challenges into AI-powered opportunities! Let's connect and discuss how I can drive your data initiatives forward. Warm regards, Suryansh

Data Engineer with 2+ years of hands-on experience building scalable, production-grade data pipelines on Google Cloud Platform (GCP). I help companies turn raw, messy data from APIs, databases, and files into clean, reliable, analytics-ready models the business can trust. What I can do for you: Build end-to-end ETL/ELT pipelines on BigQuery using Dataform and dbt Ingest data from REST APIs, relational databases (PostgreSQL, MySQL), files, and web sources (Python web scraping) Orchestrate and schedule workflows with Airflow, Cloud Functions, Pub/Sub, and Cloud Scheduler Model analytical layers and Data Mesh domains for performance, governance, and data quality Work across cloud data warehouses (BigQuery and Snowflake) and both GCP and AWS environments Set up monitoring, dashboards, and alerting so your team catches pipeline issues early My core stack: BigQuery, Dataform, dbt, SQL, Python, Airflow, Snowflake, GCP, AWS, PostgreSQL, Docker, Data Modeling. In my current role I've helped evolve a Data Mesh architecture, optimized pipelines processing large data volumes, and built integrations that deliver trustworthy analytics to business teams. I care about delivering data you can rely on — not just code that runs. Whether you need a pipeline built from scratch, an existing one optimized, a tricky SQL/BigQuery problem solved, or data scraped and structured from the web, I'd be glad to help. Let's talk about your project.

My work focuses on capturing chaotic web data and refining it into high-precision, actionable business assets. I have technical portfolio of building an integrated data intelligence ecosystem for Statistics Indonesia (BPS) that utilized asynchronous scraping and localized language models to detect regional economic anomalies. On the other hand, I am also a skilled linguist fluent in both English and Bahasa Indonesia, I am adept at providing accurate translations, general transcriptions and written content. Here is some core toolset and capabilities for our collaboration: - Data Extraction & Web Scraping: Automated Python scripts (BeautifulSoup, Selenium, Requests, Scrapy, Playwright), Network Traffic Analysis, API extraction workflows (RESTful APIs, GraphQL), Proxy management & IP rotation, CAPTCHA bypass integration, and unformatted source code parsing, user-agent spoofing, Pandas, PostgreSQL, MongoDB, Redis, JavaScript, SQL - Data Engineering: Data migration, optimization, dbt, Apache Airflow, dbt, Python, data warehousing, lakehouse architectures, partitioning, monitoring, metadata management, data engineering, data lakes, Apache Spark (PySpark), SQL, batch processing, performance tuning, data integration, schema design, data quality, data transformation, data modeling, CDC, Pandas, Docker, CI/CD, data governance, and designing and building ETL/ELT pipelines. - Pipeline Infrastructure & Automation: Custom script development, cross-format data structuring (JSON/CSV transformations), automated cleansing routines, Regular Expressions (Regex), cron jobs, Windows Task Scheduler, Bash scripting. - Analytics & Data Storytelling: Interactive Microsoft Power BI dashboards (DAX, Power Query), Google Looker Studio, Tableau, advanced Excel processing (VLOOKUP, INDEX/MATCH, matrix modeling), geocoding frameworks, and spatial entity mapping. - AI Integration & Prompt Engineering: LLM response interrogation, Developing advanced semantic extraction, automated text classification, and dataset annotation pipelines powered by LLMs and NLP technologies (OpenAI GPT API, Llama, LangChain), custom prompting architecture, dataset annotation, AI data classification, text embedding alignment, and Human-in-the-Loop (HITL) quality control. - Backend Services & Distributed Processing: Engineering asynchronous task management systems, background worker pools, and low-latency message brokers with Celery and RabbitMQ; or building modular backend services, structural validation endpoints, and custom RESTful APIs using FastAPI, Django, and Flask frameworks. - DevOps & Development Environments: Containerizing complete scraping programs and engineering pipelines via Docker to achieve absolute cross-platform execution stability, and managing collaborative environment codebases through structured Git/GitHub repository controls, code version tracking, and local CI/CD routines via GitHub Actions. - Bilingual Localization (Bahasa Indonesia-English): Professional forward/backward translation, technical manuscript editing, VA, context-aware adaptation, multilingual data validation, CAT Tools interface (Smartcat, Trados), terminology database (TermBase) management, and AI-generated text post-editing (MTPE). - - - What to expect from our engagement: - Complete technical autonomy: You receive fully documented data configurations, reproducible script environments, and complete platform control. - Pre-emptive problem solving: I identify operational risks, prompt biases, and scraping rate-limits at the foundational design level. - Systematic milestones: Project progress is tracked through dependable timelines, routine communication syncs, and clear phase completions. - Consultative delivery: Providing actionable data architecture guidance to make sure your collection systems run with optimal stability. Whether handling technical English-Indonesian localization for official manuscripts or parsing obfuscated GraphQL strings into relational CSV frameworks, my main focus is providing zero-error data systems. I specialize in turning complex, multi-layered data pipelines into structured resources that non-technical stakeholders can immediately understand and execute. My strong language skills and attention to detail ensure that all work is completed exceptionally meet your standard.

I'm a Senior Looker BI Engineer & Solutions Architect with 6+ years of hands-on experience building enterprise analytics platforms. I specialize in Looker, LookML, BigQuery, dbt, and Python — and I'm one of the few practitioners building agentic AI on top of Looker's semantic layer using Claude, Gemini, Vertex AI, and MCP. What sets me apart: ★ Google Looker Hackathon 2023 — Best Hack Award Winner ★ Built multi-agent conversational analytics systems enabling natural-language access to governed metrics ★ Built LLM-grounded Text-to-SQL agents on Looker's Open SQL Interface — 3x self-serve adoption, 70% reduction in analyst backlog ★ Technical pre-sales experience with 100+ enterprise clients, contributing to $3M+ in pipeline ★ Led cross-functional teams of BI Developers and Data Engineers ★ 4x Google Cloud Certified (Cloud Architect, Data Engineer, Cloud Engineer) + Power BI Data Analyst What I deliver: ✅ LOOKER & LookML → Full Looker implementations from scratch — semantic models, Explores, PDTs, Liquid, aggregate awareness → LookML code audits, cleanup, and optimization for performance → Looker SDK4 / API automation — content governance, usage analytics, CI/CD pipelines → Looker embedded analytics (Embed SDK, Action Hub, SSO) → Migration from Tableau / Power BI / Data Studio to Looker ✅ AGENTIC AI ON LOOKER → Conversational analytics using Claude, Gemini, Vertex AI → Text-to-SQL agents on Looker's Open SQL Interface + BigQuery → LookML generation and validation automation with LLMs → MCP (Model Context Protocol) and ADK integrations → RAG pipelines grounded in your Looker semantic layer ✅ DATA PLATFORM & ENGINEERING → BigQuery data modeling, optimization, and cost management → dbt transformations — staging, marts, incremental models, testing → ELT/ETL pipeline design on GCP (Cloud Composer / Airflow, Dataflow) → Real-time CDC ingestion pipelines → Snowflake, Redshift, and multi-cloud warehouse consulting ✅ BI STRATEGY & CONSULTING → Analytics architecture reviews and roadmaps → Data governance frameworks and documentation → Executive dashboard design and KPI frameworks → Pre-sales support — prototypes, POCs, RFP responses, demos I've worked at Uniphore, Quantiphi, Searce, and Accenture across enterprise BI, AI/ML, and cloud consulting. I bring both deep technical skill and the ability to translate business requirements into production-grade analytics solutions. Let's talk about your project — I respond quickly and deliver clean, well-documented work.

I am Noha, an Engineering Technical Analyst. I take deep, complex technical data — simulation, thermal, physical systems — and find the patterns and answers inside it. I have 8 years experience in CFD and thermal modeling + Python, SQL & Azure. I work with data the way an engineer works: I understand what the numbers physically mean before I model them, dig into data quality first, and question discrepancies instead of glossing over them. And I give clear reasoning, not just charts, as someone who speaks using the technical domain. Recent work: - Engineering simulation data pipeline — cut a recurring search from 3–4 days to minutes. Designed the database from scratch + full Python ETL; now extending to Azure - Olist e-commerce — SQL schema, data-quality investigation, business analysis + Power BI for the visualizations and insights - Egypt–Red Sea earthquake analysis — exploratory seismic analysis in Python [Pandas/Matplotlib] Tools: ETL & data modeling + database design Python (pandas, NumPy, SQLAlchemy) SQL/MySQL + Azure SQL dbt [data build tool] DuckDB Power BI Excel Services: Design and creation of end-to-end ETL pipelines from various data sources Database design & schema modeling Complex SQL queries & data investigation Analysis & insights that answer real questions Dashboards & reporting (Power BI) Excel sheets creation and handling [pivot tables/power query/dashboards] If you've got technical, engineering, or operational data that needs more than surface-level reporting, do reach out. I would love to help.

I lead the development of scalable Big Data and AI/ML platforms, backed by 7 years of experience as a Data Engineer. My expertise lies in designing complex ETL/ELT pipelines and metadata-driven architectures using tools like Databricks, PySpark, and AWS. I have a proven record of optimizing Snowflake and dbt models, achieving a 40% reduction in execution time and costs. My skills extend to unified data access, data governance, and Agile methodologies, with a strong foundation in data analytics and modeling. I excel in orchestrating workflows with Apache Airflow and managing streaming data via Kafka. If you're seeking a strategic partner to enhance your data infrastructure and drive AI-driven insights, let's connect and explore how I can help you achieve your goals.