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Fariya Begum
Senior Consultant @Deloitte Consulting - AWS - Snowflake - Big Data - Devsecops - Pyspark - Serverless - Micro Services
Professional Background
Fariya Begum is a seasoned professional in the analytics industry, boasting over 6.5 years of substantial experience in the Cloud and Big Data domains. Her career has seen her actively contribute to various projects, showcasing her ability to lead and deliver on project objectives while ensuring that all stakeholder expectations are met with precision and within stipulated timelines. Fariya has cultivated a robust skill set that includes requirement gathering and technical stack analysis, making her an invaluable asset in project management and execution.
Fariya is currently positioned as a Senior Consultant at Deloitte India, where she specializes in AWS, Big Data, Snowflake, and Python. In her current role, she engages with complex data systems, leveraging cutting-edge technologies to drive efficiency and enhance data operations. Prior to joining Deloitte, Fariya held significant roles that fortified her expertise; she operated as a Data Engineer at Advance Auto Parts and previously served as a Cloud Data Engineer focused on AWS and Big Data at Riosoft Technologies. Her diverse experiences across these organizations have equipped her with a comprehensive understanding of data analytics, project management, and cloud technologies.
Education and Achievements
Fariya completed her Master of Technology (MTech) in Electronics and Communications Engineering from JNTUH College of Engineering, Hyderabad. Her strong academic foundation laid the groundwork for her career in technology and analytics.
Throughout her career, Fariya has been involved in a variety of high-impact data migration initiatives, notably moving on-premises databases to cloud solutions such as Snowflake. This hands-on experience highlights Fariya's ability to navigate complex data environments, showcasing her technical prowess in cloud services, serverless architecture, and big data technologies.
Fariya's expertise is complemented by her technical skills in tools and frameworks such as HDFS, Hive, Apache Spark (including Spark 2.0, PySpark, SparkSQL, and Spark Streaming), and data streaming technologies like Confluent Kafka. Her comprehensive knowledge enables her to effectively manage and process large datasets, ensuring optimal performance in analytics applications.
Technical Skills and Proficiency
Fariya has a working knowledge of various programming languages and technologies, including Shell Scripting, Java, and Python. She is also adept at preparing Technical Design Documents (TDDs) and Functional Design Documents (FDDs), which are essential for outlining project goals, technical specifications, and the overall project scope. Her methodological approach to documentation not only helps streamline project workflows but also facilitates effective communication among team members and stakeholders.
Fariya is recognized for her agile mindset, embracing agile principles and practices in her work. This commitment to agile methodologies enhances her ability to collaborate efficiently within teams, adapt quickly to changing project requirements, and uphold a culture of continuous improvement. With a learning attitude and a passion for upskilling, she thrives on enhancing her knowledge and adapting to the evolving technological landscape.
Achievements
- Over 6.5 years of experience in Analytics, specializing in Cloud and Big Data.
- Proven track record of successfully leading data migration projects from on-premises databases to Snowflake.
- Expertise in AWS Cloud Services and Serverless Architecture.
- In-depth knowledge of Big Data technologies, including HDFS, Hive, Spark, PySpark, and Spark Streaming.
- Proficient in programming languages: Shell Scripting, Java, and Python.
- Strong experience in preparing technical and functional design documents, supporting project clarity and execution.
- Committed to agile principles, fostering efficient teamwork and adaptability in fast-paced environments.
