Cisco

- Leading offshore and onshore team of 6
- Developed next-gen org-wide centralized Airflow end-to-end management system
- Developed a system to provide real-time event updates from Salesforce to Kafka and Snowflake
- Developed Cisco-wide "The Sales API" providing GraphQL and SOQL interface 
- Developed unique in the industry "Formula Field Calculation API" for downstream subscribed to Salesforce
- Developed Archive, Purge and Restore for Salesforce data to S3 and Snowflake

Tech Stack: Python, Java, Typescript, Airflow, Angular, Django, Heroku, Postgres, Snowflake, Kafka, Salesforce, Spring, AWS

Software Engineer III

Wipro

- Leading offshore and onshore team of 6.
- Developed an Airflow monitoring system that sends live updates to internal chat tools for proactive monitoring.
- Developed FW to ingest data from multiple sources to databases/data warehouses using Airflow.
- Developed an automated daily summary statistics notification system for management.
- Developed an automated password rotation system that helps change passwords and automatically save that in metadata for Airflow to use in ingestion jobs.
- Developed an audit tool to monitor the incoming and outgoing data (size and rows).
- Developed a logging tool to save error logs for future analysis and audit.
- Developed Snowflake SQL validator dashboard to validate, version, and deploy tables/views that adhere to company standards
- Developed a dashboard that displays real-time KPIs for applications deployed in airflow that helps in a bird's eye view of application performance.
- Developed FW that identifies PII data, categorizes it into different regions, and loads data into identified regions' data warehouses.

Tech Stack: Python, Javascript, React, Docker, Airflow, Oracle, Snowflake, Salesforce, Elastic Search, Mongo, Postgres, MySQL, AWS, Kafka, Rundeck, Jenkins

Senior Project Engineer

Infosys

- Leading offshore and onshore team of 4.
- Built a dashboard visually representing data flow between different database objects, reducing enhancement analysis time from hours to minutes.
- Developed a parser that identifies PII and non-standard in various application components. It helped in standardization across the entire Business Vertical. 

Tech Stack: Python, Pytorch, SQL, Tableau, Javascript, React, Oracle, Autosys

Technology Analyst

- Leading offshore team of 4.
- Developed a data catalog system that provided end-to-end lineage for all application components and data flow. It reduced the ad-hoc analysis and inventory collection time for migration and expansion projects from weeks to minutes.

Tech Stack: Python, SQL, Oracle, Teradata, Cassandra, Hive, Spark, Vertica, Autosys

Senior Systems Engineer

- Developed a framework to migrate existing Informatica pipelines to an in-house ETL tool. It reduced the effort in migration by a factor of 5.
- Built data validation automation that reduced app teams’ time spent in validation by a factor of 300.

Tech Stack: Python, SQL, Oracle, Teradata, Informatica, Autosys

Systems Engineer

- Led a team of 4 building a chatbot using machine learning for a telecom company to reduce waiting time by routing common questions to the chatbot and providing innovative call routes to executives based on the domain using classification and NLP algorithms.

Tech Stack: Python, Oracle,  Tensorflow, NLTK

Software Engineer Intern

Lead Software Engineer @Cisco

o A focused and goal-driven individual with a strong work ethic and commitment to offering quality work
o Skilled in Python, Java, Kotlin, Javascript, Typescript, SQL, NoSQL, Machine Learning, DevOps, and Cloud (GCP & AWS)
o Experience in designing databases, data warehouses, data pipelines, ML models, dashboards and reports, web apps, mobile apps, and APIs
o A proactive learner with a flair for adopting emerging trends and addressing industry requirements to
achieve organizational objectives and profitability norms
o An effective communicator with strong analytical, logical, and interpersonal skills

Fastest way to reach me is email : kunal@kunalchhabra.com

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