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  Quick learner with a passion for innovation and adaptability in fast-paced environments
  Co-author of an AI/ML paper published in a Springer conference; co-owner of a patent on AI/ML based Project 'Robust Touch Free Palm Vein Recognition System'
  Strong background in software performance testing, debugging, and cross-platform development
  Proven leadership as Head of Cultural Department in college; promotes teamwork and creativity
  Excellent communication, critical thinking, and organizational skills
  Committed to social impact through collaboration and technology


Accomplished data professional with extensive expertise in data pipeline construction, cloud technology, and ETL processes. Proficient in Python programming, SQL proficiency, and database management systems, with a strong focus on data architecture design and modernisation. Demonstrates technical leadership and collaborative skills in managing complex projects involving Azure Data Factory, SSIS deployment, and Power BI. Adept at stakeholder management and committed to delivering high-quality business intelligence solutions through effective performance tuning and optimisation strategies. Career goals include advancing data platform modernisation initiatives while enhancing cloud computing capabilities.
Knowledgeable about leveraging analytical skills and strong foundation in computer science to solve complex problems. Skilled in programming languages such as Python and SQL, with experience in data manipulation and database management. Strong communicator with keen attention to detail and ability to work collaboratively in team environments. Ready to use and develop coding, data analysis, and problem-solving skills in SQL\BI\Data analyst Engineer role.

Data Engineer with over 10 years of experience in designing, developing, and maintaining large-scale, cloud-native distributed systems. Proficient in building ETL/ELT pipelines with Python and PySpark, and orchestrating workflows with Apache Airflow. Experienced in scaling and optimizing large data transformations with Python, SQL, and Spark, and experienced in using Azure Synapse Spark Pools for fast, efficient big data processing. Skilled in building and integrating solutions across AWS and Azure environments, with hands-on expertise in AWS EC2, S3, RDS, and Azure-native services to deliver scalable, secure cloud architectures. Managed complex data warehousing solutions using Snowflake and Azure Synapse Analytics, focusing on schema design, performance tuning, and cost optimization. Proficient in creating interactive business intelligence reports and dashboards with Power BI. Extensive experience in data modeling and database design across relational and NoSQL systems, with strong expertise in writing complex, high-performance SQL queries. Proficient in building ETL workflows with SSIS and developing business intelligence reports with SSRS to deliver end-to-end data solutions. Experienced in Agile development and CI/CD automation, using tools like Azure DevOps and Git, and skilled in containerization and orchestration with Docker and Kubernetes. Focused on maintaining high standards of data quality, security, and governance by implementing best practices with Azure Policy, Azure Security Center, and serverless computing through Azure Functions.

Delivered scalable, high-performance data engineering solutions with over 11 years of IT expertise in Data Engineering, Data Warehousing, and Big Data. Leveraging 5+ years of experience in data engineering and 4+ years in data warehousing across healthcare, finance, retail, and manufacturing domains. Designed, built, and optimized large-scale ETL/ELT pipelines using Azure Data Factory, Azure Databricks, AWS Glue, Snowflake, and Apache Spark. Implemented real-time data ingestion and analytics pipelines leveraging Kafka, Spark Streaming, Azure Event Hubs, and AWS Kinesis. Developed reusable, parameterized pipelines to reduce development time and improve maintainability. Created optimized data models and schemas using dimensional modeling techniques (star schema, snowflake schema). Applied advanced performance tuning techniques such as partitioning, bucketing, indexing, caching, and workload management. Integrated structured, semi-structured, and unstructured data from diverse sources including RDBMS, APIs, and cloud storage. Automated ETL workflows using Apache Airflow, Oozie, Control-M, IBM Tivoli, Jenkins, and Azure DevOps pipelines. Utilized advanced Snowflake features including SnowSQL scripting, time travel, zero-copy cloning, and complex SQL functions. Built CI/CD frameworks for automated deployment, testing, and version control of data pipelines using Git, Jenkins, and Azure DevOps. Developed robust data quality and validation frameworks to ensure dataset integrity and reliability. Managed large, distributed clusters and fine-tuned Spark jobs for optimal performance and scalability. Designed real-time analytics dashboards with Power BI and Tableau for actionable business insights. Wrote complex SQL queries, stored procedures, triggers, and functions for data transformation and reporting. Processed geospatial and time-series datasets using specialized algorithms and frameworks. Created monitoring frameworks using AWS CloudWatch, Azure Monitor, and custom logging systems. Implemented data security and governance measures including RBAC, encryption, GDPR, and HIPAA compliance. Integrated hybrid data sources between on-premises and cloud environments. Mentored and guided junior data engineers, fostering collaborative learning. Collaborated with stakeholders to translate business requirements into scalable technical solutions. Operated effectively within Agile and Scrum frameworks (sprint planning, daily stand-ups, retrospectives). Delivered high-quality solutions on time while balancing technical and business priorities. Researched and adopted emerging data engineering tools and technologies. Transformed raw data into meaningful insights that drive business decisions. Change my professional summary for a business analyst position Senior engineering professional with deep expertise in data architecture, pipeline development, and big data technologies. Proven track record in optimizing data workflows, enhancing system efficiency, and driving business intelligence initiatives. Strong collaborator, adaptable to evolving project demands, with focus on delivering impactful results through teamwork and innovation. Skilled in SQL, Python, Spark, and cloud platforms, with strategic approach to data management and problem-solving.

Amlan Jyoti Baruah

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Bachelor of Technology - Computer Science

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Asst.Systems Engineer

Asst.Systems Engineer Trainee

Bachelor of Technology - Computer Science

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