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With 7+ years of experience, I'm Expert in Web Scraping, Data Engineer, AI/ML and Full-Stack Developer specializing in large-scale data extraction, automation, and pipeline engineering. I build robust, scalable systems that transform raw data into actionable insights. 💡 Core Expertise Web Scraping & Automation: Expert in bypassing anti-bot systems (CAPTCHA, rate limits, IP rotation) using Scrapy, BeautifulSoup, Selenium, Playwright, and rotating proxies. Automation & Workflow Engineering: Airflow, Prefect, Dagster, n8n, Zapier, Make, Power Automate, UiPath, Step Functions, Logic Apps, GCP Workflows, Business Process Automation, RPA, CI/CD, Jenkins, GitHub Actions, GitLab CI/CD, Monitoring & Alerting. Data Engineering: Designing and building scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data using Apache Airflow, Apache Spark (PySpark), Pandas, Dask, Databricks, Snowflake, Apache Kafka, Apache Hive, Apache Hadoop, Delta Lake, Apache Iceberg, dbt, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Apache NiFi, Trino, Presto, and Apache Beam. Experienced in data warehousing, data lakes, lakehouse architectures, data modeling, data transformation, data quality, data governance, batch and real-time processing, streaming data pipelines, orchestration, workflow automation, schema design, partitioning, optimization, and performance tuning. Proficient with cloud platforms including AWS, Azure, and GCP, S3, Redshift, EMR, Athena, Lambda, Azure Synapse Analytics, Azure Data Lake Storage, BigQuery, Cloud Storage, and Pub/Sub. Skilled in SQL, Python, data integration, data migration, CDC, metadata management, monitoring, CI/CD, Docker, Kubernetes, and modern data stack technologies. Backend Development: High-performance APIs and microservices with FastAPI, Django, Flask, and Celery for async task handling. AI/ML Integration: Leveraging NLP and LLMs (LangChain, Llama, NLTK) for data enrichment, classification, and intelligent automation. Cloud & DevOps: Deploying scalable scrapers and data workflows on AWS (Lambda, ECS, S3), GCP, Docker, and Kubernetes. 🛠️ Tech Stack Data & Scraping: ▸ Scrapy | Selenium | Playwright | Proxies (BrightData, ScraperAPI, etc) ▸ Pandas | PySpark | Apache Airflow | PostgreSQL | MongoDB | Redis Backend & Cloud: ▸ Python (FastAPI, Django, Flask) | Celery | RabbitMQ ▸ AWS (Lambda, ECS, RDS, S3) | GCP | Docker | Kubernetes AI/ML: ▸ NLP (NLTK, spaCy) | LLMs (LangChain, OpenAI, Llama) | Data Annotation Let's turn your data challenges into reliable, scalable solutions. Send me a message to discuss your project!

✨ Seasoned software professional with 20+ years of experience in end-to-end software development, including 8+ years specializing in Big Data technologies and cloud-based solutions. Proven expertise in building scalable, high-performance data platforms using Apache Spark, Hadoop, Hive, Cassandra, and programming in Scala, Python, Java and C++. ✨ I focus on designing robust, enterprise-grade Big Data and Data Engineering architectures on GCP, AWS, and Azure, both in on-prem and cloud environments. My role involves solution architecture, technical leadership, and hands-on development of critical components. ✨ I am passionate about leveraging my experience to build cutting-edge data and AI solutions. Open to senior technical roles, consulting opportunities, and innovative startup environments. 🔹 Keen eye on scalability, sustainability of the solution 🔹 Can come up with maintainable & good object-oriented designs quickly 🔹 Highly experienced in seamlessly working with remote teams effectively 🔹 Aptitude for recognizing business requirements and solving the root cause of the problem 🔹 Can quickly learn new technologies 🔹 Transparency, Dedication, Qualtity and Satisfaction Guaranteed Sound experience in following technology stacks: ✨ Big Data: Apache Spark, Spark Streaming, HDFS, Hadoop MR, Hive, Apache Kafka, Cassandra, Google Cloud Platform (Dataproc, Cloud storage, Cloud Function, Datastore/Firestore, Pub/Sub), Cloudera Hadoop 5.x ✨ Languages: Scala, Python, Java, C++, C, Scala with Akka and Play frameworks ✨ Build Tools: Sbt, Maven ✨ Databases: Postgres, Oracle, MongoDB/CosmosDB ✨ GCP Services: GCS, DataProc, Cloud functions, Pub/Sub, Data-store, BigQuery ✨ AWS Services: S3, VM, VM Auto-scaling Group, EMR, S3 Java APIs, Redshift, MongoDB ✨ Azure Services: Blob, VM, VM scale-set, Blob Java APIs, Synapse, CosmosDB ✨ Other Tools/Technologies: Kubernetes, Dockerization, Terraform Worked with different types of Input & Storage formats: CSV, XML, JSON file, Mongodb, Parquet, ORC

I help businesses build scalable, secure, and AI enabled systems that handle 10,000+ users without performance issues. Highly experienced in IT sector with Lead roles. ( IT 10+ Years, after Master of Computer Applications (MCA) ). Stregnth: * Excellent as a Code Developer * Solution Leader. * Problem detecting & solving enthusiast * Proactive in suggesting the client and committed to the word given to the client. * Driven to the core for Speed, Optimization, Bugs Cleaning and the Scalability of the Projects. * With me, your company will get the creativity and advantage extra edge over the competition. General Experience: * 7 Years of experience as a software developer. * 3 Years of experience as a Senior * 2 Years of experience as a Team Leader Skills: Java,PHP,Angular,Vue,React,Wordpress,Laravel, Hadoop * Master of Computer Application * Have full stack knowledge of industry Companies and projects: * Samsung-Team Lead * RBS (Royal Bank of Scotland)- Team Lead * NCR Corporation - Team Lead * Accenture - Developer * Honda Insurance- Sr. Developer

I'm a Senior Data Engineer with 8+ years of strong technical expertise in building reliable and scalable data infrastructure, from data ingestion to transformation to warehousing, streaming, and data analytics, specializing in dbt, Snowflake, Airflow, Databricks (and more) across AWS, Azure, and GCP, with robust ELT and ETL pipelines. If your data pipelines are brittle, your data warehouse is slow, or your data was never built to scale, that is exactly what I fix, with fault tolerance, observability, and audit-ready quality engineered in from day one. I cover the full data engineering lifecycle: batch and real-time data pipelines, Modern Data Stack builds, lakehouse architecture, cloud and warehouse data migration, governance, and the data foundations that feed modern systems. 🎯 Core Expertise: ✅ Data Pipelines & Orchestration: End-to-end batch and real-time pipelines with Apache Airflow, Dagster, Prefect, AWS Step Functions, and Azure Data Factory. Idempotent, schema-drift tolerant, and monitored so failures surface before they reach your stakeholders. ✅ Cloud Warehousing & Lakehouse: Snowflake, BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric, with Delta Lake and Apache Iceberg lakehouse foundations governed through the Glue Data Catalog and Lake Formation, with Athena and Redshift Spectrum for serverless queries, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark on EMR and AWS Glue, Star Schema and dimensional modeling, analytics engineering best practices, full test coverage, and CI/CD for data models. ✅ Streaming & Real-Time Analytics: Distributed streaming with Apache Kafka, Flink, Spark Structured Streaming, Kinesis, and Pub/Sub, including exactly-once semantics, dead-letter queues, CDC, and end-to-end latency guarantees. ✅ Data Ingestion & Integration: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, and custom CDC pipelines for near-real-time sync across structured, semi-structured, and unstructured sources. ✅ Data Quality, Governance & Observability: Automated data quality frameworks, SLA monitoring, auditable lineage, data catalog and metadata management, and observability that catches bad data early. ✅ Cloud Migration & Modernization: Zero-downtime migration handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime, replacing brittle ETL and ELT with a clean Modern Data Stack. ✅ AI-Ready Data Infrastructure: Pipelines engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ------------------------------------------------------ ⚙️Tech Stack: ⚡ Warehouses & Lakehouse: Snowflake | BigQuery | Redshift | Databricks | Microsoft Fabric | Athena | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | AWS Glue | EMR | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow (GCP Cloud Composer and AWS MWAA) | Dagster | Prefect | Azure Data Factory | Step Functions ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Governance & Catalog: Glue Data Catalog | Lake Formation | Unity Catalog | Microsoft Purview | Dataplex ⚡ Cloud: AWS | GCP | Azure ⚡ Languages: Python | SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) | FastAPI ⚡ Databases: PostgreSQL | MySQL | SQL Server | DynamoDB | MongoDB ⚡ BI & Reporting: Looker | Tableau | Power BI | GA4 | Metabase | Superset | Streamlit | Grafana ------------------------------------------------------ ⭐ What Clients Say: 🏅 "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS 🏅 "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm 🏅 "Clean architecture, solid dbt models, and Airflow pipelines running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup 🏅 "We came to him with a Spark pipeline costing us a fortune and delivering stale data. He restructured the workflow logic and cut processing time by 70%." – Leo, Head of Analytics, HealthTech SaaS ------------------------------------------------------ 🏆 TOP RATED PLUS | EXPERT-VETTED | Top 1% on Upwork | 8+ Years Experience | 100% Job Success 🚀 Ready to build a scalable, production-ready data infrastructure to turn your raw data into reliable, actionable business insights? Click the 'Invite to Job' button on the top right, and let's discuss your data pipeline!

I bring extensive hands-on experience in the realm of data science, showcasing proficiency in various Hadoop components such as MapReduce, Hive, Pig, alongside a deep understanding of AWS cloud services. Over the course of my career, I have successfully executed numerous projects utilizing machine learning techniques for in-depth data analysis. Specifically, I leverage Apache Spark to efficiently process vast datasets for analytical purposes. My expertise extends to the full spectrum of Spark's capabilities, including Spark Streaming, Spark MLlib, and Spark GraphX, which have proven instrumental in enhancing the speed and scalability of data processing in various projects. I have implemented Spark MLlib to develop machine learning models tailored to meet specific client requirements, focusing on prediction and classification tasks. In my current role, I am deeply involved in working with Hadoop components, and I continue to harness the advanced features of Spark, such as Spark Streaming, MLlib, and GraphX, for real-time data processing requirements. Moreover, I actively incorporate DevOps practices into my workflow to ensure seamless collaboration between development and operations teams. This includes the integration of continuous integration/continuous deployment (CI/CD) pipelines, automated testing, and infrastructure as code (IaC) principles. Embracing a DevOps mindset enhances the overall efficiency and reliability of the software development lifecycle. I take pride in my ability to align machine learning methodologies with data processing workflows to meet client demands effectively. This involves leveraging Spark MLlib for predictive modeling and classification tasks, ensuring a holistic approach to addressing client requirements and business objectives. Throughout my journey in data science, I have remained dedicated to staying at the forefront of technology, constantly adapting to new tools and methodologies. I am enthusiastic about bringing this multifaceted expertise, encompassing data science and DevOps practices, to tackle new challenges and make meaningful contributions to future projects.

If your software is slow, unstable, or difficult to scale, the root problem is usually hidden in the architecture or database design. I help companies stabilize, scale, and modernize complex applications built with .NET, React, and SQL Server. I’m a Senior Full Stack Developer with 10+ years of experience building and scaling secure, high-performance applications across industries like Healthcare, Fintech, Logistics, Education, and Enterprise SaaS. I specialize in modern full stack development and legacy system modernization, helping businesses turn complex software challenges into stable, scalable products. Whether you need to launch an MVP, stabilize an existing system, or modernize legacy software, I bring both technical expertise and product thinking to deliver long-term results. What I Can Help You With ✔ Building scalable SaaS platforms and web applications ✔ Fixing and stabilizing buggy or slow systems ✔ Modernizing legacy applications (.NET Framework, WCF, Classic ASP → modern architecture) ✔ Designing and developing secure APIs and microservices ✔ Improving performance, scalability, and maintainability ✔ Integrating third-party services and complex APIs ✔ Supporting teams with architecture decisions and technical leadership Tech Stack Frontend React.js Angular TypeScript JavaScript Tailwind CSS Backend .NET Core C# Node.js Express.js RESTful APIs Databases SQL Server PostgreSQL MongoDB Cloud & DevOps AWS (EC2, S3, RDS, Lambda, API Gateway) Azure (App Services, Cosmos DB, Azure Functions) Docker Azure DevOps GitLab Bitbucket Real-Time Systems SignalR WebSockets Kafka API Integrations REST APIs GraphQL Payment & third-party service integrations Industry Experience 🏥 Healthcare HIPAA-compliant platforms, telehealth systems, secure patient data systems 💳 Fintech Secure payment platforms, financial transaction systems 🚚 Logistics Real-time tracking systems and workflow automation platforms 💼 Enterprise SaaS Scalable multi-tenant SaaS applications and CRM systems 🎓 Education Learning management systems and EdTech platforms Results I've Delivered • Stabilized enterprise systems handling thousands of daily users • Optimized APIs and databases to significantly improve system performance • Modernized legacy applications into modern .NET architecture • Built scalable SaaS platforms supporting growing customer bases Why Clients Work With Me ✔ 10+ years of real-world development experience ✔ Strong product and business mindset ✔ Clean, scalable, and maintainable code practices ✔ Experience working in Agile development teams ✔ Comfortable owning full lifecycle development (frontend → backend → cloud) ✔ Focus on long-term stability and scalability My Approach I don’t just deliver code — I help build reliable software that supports real business growth. Every project focuses on: • Clean architecture • Performance optimization • Security best practices • Scalable infrastructure • Maintainable codebases Let’s Build Something Great If you're looking for a developer who can quickly understand complex systems, solve technical challenges, and contribute to long-term product success, I’d love to help. Let’s connect and discuss how we can build something fast, secure, and scalable.