Arihant Kanchan Jain Email and Phone Number
Data Engineer and Solution Architect (AWS/GCP/Azure) I'm a dynamic data expert with proven ability to deliver short or long-term projects in data engineering, data warehousing, machine learning, and business intelligence realm. My passion is to partner with my clients to deliver top-notch, scalable data solutions to provide immediate and lasting value.I specialize in the following data solutions:✔️ Data strategy advisory & technology selection/recommendation✔️ Building data warehouses using modern cloud platforms and technologies✔️ Creating and automating data pipelines, real-time streaming & ETL processes✔️ Building highly intuitive, interactive dashboards.✔️ Data Cleaning, Processing, and Machine Learning models✔️ Data Migration (Heterogenous and Homogenous)Some of the technologies I most frequently work with are:☁️ Cloud: AWS, GCP & Azure👨💻 Databases: SQL Server, Redshift, BigQuery, Snowflake, RDS, PostgreSQL, MySQL, S3, DynamoDB, MongoDB, Cloud Data Store, Redshift⚙️ Data Integration/ETL: Talend, Stitch, Informatica, SSIS, AWS Glue & EMR, Alteryx, GCP DataFlow & DataProc📊 BI/Visualization: Tableau, PowerBI, Spotfire, Excel, Google Data Studio, AWS QuickSight 🤖 Machine learning - Natural Language Processing, Keras, Jupyter Notebook, Python, TensorFlow, Pandas, Numpy, Pytorch, JS.
Deloitte
View- Website:
- deloitte.com
- Employees:
- 295722
-
Data EngineerDeloitte Mar 2022 - PresentMumbai, Maharashtra, IndiaTravelers | Data Engineer• Designed and implemented scalable ETL pipelines utilizing Python and Apache Spark, enhancing data processing efficiency by 30%.• Managed and optimized data warehousing solutions on AWS Redshift, resulting in a 20% reduction in query times.• Developed and maintained robust data quality checks and monitoring systems, ensuring high data accuracy and reliability.• Deployed real-time data processing solutions with Kafka, facilitating near-instantaneous… Show more Travelers | Data Engineer• Designed and implemented scalable ETL pipelines utilizing Python and Apache Spark, enhancing data processing efficiency by 30%.• Managed and optimized data warehousing solutions on AWS Redshift, resulting in a 20% reduction in query times.• Developed and maintained robust data quality checks and monitoring systems, ensuring high data accuracy and reliability.• Deployed real-time data processing solutions with Kafka, facilitating near-instantaneous updates for critical applications.Aflac | Data Engineer• Developed SQL test scripts for comprehensive End-to-End Testing, facilitating smooth data transitions between SQL Server and Snowflake, which led to a 40% boost in testing efficiency.• Ensured defect-free performance during two project module go-lives, contributing to a 60% increase in project success rates.• Supported the creation and upkeep of ETL processes for integrating data from various sources into a centralized data warehouse.Bank Of Montreal (BMO) | Data Analyst• Achieved a 50% reduction in deployment times and a 60% decrease in data ingestion times through effective optimization, automation, and code reuse.• Developed and implemented a robust ETL pipeline for migrating 2M+ banking customer records into Salesforce, leveraging Python, AWS services (Glue, S3, AppFlow), and Apache Airflow.• Partnered with cross-functional teams to understand and address a variety of data needs within the organization.• Recognized with the Deloitte SPOT Award for outstanding performance in data engineering projects. Show less
Frequently Asked Questions about Arihant Kanchan Jain
What company does Arihant Kanchan Jain work for?
Arihant Kanchan Jain works for Deloitte
What is Arihant Kanchan Jain's role at the current company?
Arihant Kanchan Jain's current role is Data Engineer | Building Scalable Data Pipelines | ETL, SQL, Python, Machine Learning | Cloud Solutions (AWS, Azure, GCP) | Driven by Love for Physics, Automotive's and Books.
Who are Arihant Kanchan Jain's colleagues?
Arihant Kanchan Jain's colleagues are Pankaj Kumar Patra, Andrew Howard, Stav Chen, Sakshi Behl, Nicholas Yap, Gajander Singh, Deepak Patil.
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