👋 Hi, I’m @Hitesh, a Passionate Big Data Engineer 🚀 About Me: I am an experienced Big Data Engineer with expertise in data pipelines, distributed computing, and cloud-based solutions. I specialize in designing, building, and optimizing scalable, high-performance data architectures for real-time and batch processing.

👀 What I Do:

Develop and optimize end-to-end data pipelines for structured and unstructured data. Work with big data technologies to process massive datasets efficiently. Design cloud-based solutions on Azure, AWS, and Google Cloud for scalable and cost-effective data processing. Implement ETL/ELT workflows, data warehousing, and real-time analytics. Automate and monitor data workflows to ensure reliability and performance. Optimize query performance for large-scale analytics and reporting.

💻 Tech Stack & Tools:

📂 Big Data Technologies:

🔹 Apache Hadoop (HDFS, MapReduce, YARN)

🔹 Apache Spark (PySpark, Scala, Spark SQL)

🔹 Apache Kafka (Real-time Streaming, Event Processing)

🔹 Apache Flink (Stream & Batch Processing)

🔹 Apache Hive & HBase (Data Warehousing & NoSQL Storage)

🔹 Apache Airflow (Workflow Orchestration)

☁️ Cloud & Data Engineering Platforms:

☁️ Azure (Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure Data Factory, Cosmos DB, Azure HDInsight)

☁️ AWS (S3, Redshift, Glue, EMR, Lambda, Kinesis)

☁️ Google Cloud (BigQuery, Dataflow, Pub/Sub, GCS)

🛠️ Programming & Scripting:

🐍 Python (Pandas, NumPy, PySpark)

☕ Java & Scala (Big Data Processing)

📜 SQL (T-SQL, PL/SQL, HiveQL)

🔹 Shell Scripting & Bash (Automation & Data Processing)

🗃️ Databases & Storage:

🛢️ Relational Databases: PostgreSQL, MySQL, SQL Server, Oracle

📂 NoSQL Databases: MongoDB, Cassandra, DynamoDB

🔹 Columnar Storage: Apache Parquet, ORC

🚀 DevOps & CI/CD:

🐳 Docker (Containerization)

⚙️ Kubernetes (K8s) (Container Orchestration)

🔄 Apache NiFi (Data Flow Automation)

🚀 Terraform & Ansible (Infrastructure as Code)

🛠️ Azure DevOps, GitHub Actions, Jenkins (CI/CD Pipelines)

📊 Data Visualization & Analytics:

📊 Tableau, Power BI (Dashboarding & Reporting)

📈 Superset, Grafana (Real-time Monitoring)

🌟 What I’m Interested In:

💡 Big Data Processing & Optimization

⚡ Cloud Data Engineering & Migration

📡 Real-time Streaming & Event-Driven Architectures

🧠 Machine Learning & AI for Big Data

🔍 Data Security & Governance

💬 Let's Connect!

📫 Feel free to reach out to collaborate on exciting data engineering projects!

💻 Check out my repositories for big data solutions, cloud workflows, and ETL automation.

🚀 Let’s build scalable, high-performance data solutions together!