Abhinav Anand

Key highlights of my experience include:

• Expertise in Azure services including Data Factory, Databricks, and Synapse Analytics
• Strong background in ETL processes, data warehousing, and performance optimization
• Experience with real-time data pipelines and sentiment analysis projects
• Certifications: Azure Data Engineer Associate, Databricks Certified Data Engineer, Snowflake SnowPro Core
• Skilled in Python, SQL, Azure Services, Pyspark, Big Data, Data Streaming

Experience:

• 2+ years designing, building, and optimizing scalable data pipelines on Azure
• Expertise in Azure Data Factory, Databricks, PySpark, and PySQL for ETL processes
• Skilled in integrating diverse data sources, including REST APIs and SQL databases
• Proficient in data warehousing, modeling, and performance tuning for large-scale solutions

Key Technical Skills:

• Cloud Platforms: Azure, AWS
• Data Engineering: Azure Data Factory, Databricks, ADLS, Apache Spark, ETL
• Databases: Snowflake, Azure SQL Database, Azure Synapse Analytics
• Messaging & Streaming: Amazon SQS, Kinesis Firehose, Kafka
• Serverless Computing: Azure Functions, AWS Lambda
• Other: Git, Agile, Data Governance, CI/CD Pipelines, Docker

Notable Projects:

1. Reckitt Real-Time Amazon Ads Analytics Platform (AWS/Azure)
   • Implemented a real-time data pipeline for Amazon Ads data
   • Increased advertising ROI by 15%
   • Reduced data processing time by 30%
2. Customer Sentiment Analysis Pipeline (Azure, Snowflake)
   • Engineered a data processing pipeline using Snowflake and Azure Databricks
   • Applied NLP techniques for sentiment analysis
   • Improved data quality by 15% and reduced erroneous data by 98%

Education:

1. Master of Technology (M.Tech) in Computer Science
   • Institution: Birla Institute of Technology and Science, Pilani
   • Duration: 2020 - 2022
   • CGPA: 7.5 / 10
2. Bachelor of Technology (B.Tech) in Computer Science
   • Institution: Lovely Professional University
   • Duration: 2016 - 2020
   • CGPA: 8.5 / 10