
Abhinav Anand
Engineering / Architecture
About 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
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:
- 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%
- 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
Education:
- Master of Technology (M.Tech) in Computer Science
- Institution: Birla Institute of Technology and Science, Pilani
- Duration: 2020 - 2022
- CGPA: 7.5 / 10
- Bachelor of Technology (B.Tech) in Computer Science
- Institution: Lovely Professional University
- Duration: 2016 - 2020
- CGPA: 8.5 / 10
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