Arihant Kanchan Jain Email & 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.

• 

  Data Engineer

  Deloitte

  Mar 2022 - Present - Mumbai, Maharashtra, India

  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… 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