Vivek M.

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