Provided exceptional technical support to ServiceNow customers, ensuring a positive experience through timely and effective case resolution.Diagnosed and resolved technical cases related to unexpected behaviors or technical questions about ServiceNow software and platform, utilizing web, chat, email, case updates, and telephone support.Leveraged advanced understanding of JavaScript, TCP/IP, networking, and infrastructure services to troubleshoot complex technical issues.Coordinated with additional teams to manage and resolve challenging issues, ensuring a collaborative and flexible approach to problem-solving.Built trust and demonstrated empathy in interactions with customers, effectively communicating solutions and ensuring customer satisfaction.Mentored and coached junior team members, sharing knowledge and expertise to foster a supportive and growth-oriented environment.Provided valuable input across business units regarding process and product improvements, drawing from unique perspectives gained through resolving customer issues.Upheld a personal commitment to quality and customer service, continuously striving to enhance support experiences.

• Employing boto3, I automated the extraction, transformation, and loading (ETL) procedure for streaming data by integrating AWS S3 and AWS Redshift.I utilized the Panda library in Python to perform data cleansing, manipulation, and reshaping prior to importing the data into databases or data warehouses.• Successfully deployed serverless data processing solutions on AWS by leveraging AWS Glue and AWS Lambda in conjunction with pandas and pyarrow to cleanse, transform, and enrich data in an efficient manner.• Contributed to end-to-end pipelines, including data collection, requirement-based operation execution, S3 storage, and data production for a streaming data platform.• In Snowflake, established relationships and mapped data from various tables.• Collaborated closely with analysts to assess the customer's behavior across various segments of the year and generate graphs.• Employed Python and technologies such as Apache Kafka to implement event-driven data processing for real-time data pysparjstreams.• Actively engaged in utilizing Natural Language Processing (NLP) to assess the precision of the model responsible for converting consumer speech into text.• Massive quantities of Pyspark code were refactored and optimized to meet new business requirements.• Contribute to the design and development of an application for data scientists and analysts that utilizes RDS as a data source and enables SQL-based data access. • Contributed as a member of an agile/scrum team that specialized in software delivery and support; Jira was utilized to monitor the development of the application.• Proficient in utilizing data modules, SDP, and Snowflake.