Profile

Almina Shrestha

Cloud Data Engineer

5.9

Years of Experience

Education

Companies

wells fargo, tmobile, lama insurance agency, new prestige automotive care, goodwill finance company, goodwill finance company

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Email

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Experience

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    2021 - Present

    wells fargo

    Cloud Data Engineer

     Developing streaming and batch applications using Apache Spark, AWS Glue, Python, and Apache Airflow, building BI dashboards, Restful APIs, and Grafana dashboards, and implementing CI/CD pipelines using Jenkins.  Working with multiple programming languages, such as Python and Scala, to create modern data pipelines.  Developing optimized ETL scripts in AWS Glue, building ingestion scripts for AWS RDS and S3, and implementing end-to-end CI/CD pipelines using Jenkins.  Implementing, automating, and maintaining large-scale enterprise ETL processes for a global client base using Apache Spark ecosystem and lambda architecture.  Utilizing Apache Spark, Spark Components, and Sqoop for big data processing, building ETL pipelines for Snowflake ingestion, and working on Spark Streaming and Apache Kafka for live stream data.  Working extensively with various AWS services such as EC2, S3, VPC, RDS, DynamoDB, and Redshift, and deployed LAMP-based applications in the AWS environment with provisioned S3 buckets for backup.  Collaborated with the team to migrate to AWS, implemented AWS Redshift, and designed AWS virtual servers using Ansible roles for web application deployment, including Tableau integration for data visualizations.  Utilized Kubernetes to deploy, scale, load balance, and manage Docker containers with multiple namespace versions and provisioned monitoring and logging systems on AWS using tools like SPLUNK, ELK, and Sense.  Managed AWS infrastructure using automation and configuration management tools like Chef and Ansible and used Amazon Route53 for DNS zone management and public DNS naming of elastic load balancers.  Developed Python-based ingestion scripts for daily data ingestion into AWS RDS and S3, and automated daily jobs using Apache Airflow to optimize the process.  Loaded real-time streaming data using Event hubs, built BI dashboards in Tableau for metric reporting, and developed Grafana dashboards for daily metric automation and alerting.

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    2018 - 2021

    tmobile

    Data Engineer

     Development of high-impact big data solutions using Apache Spark, Hadoop, Splunk, Kafka, Hive, Pig, and SQL to process and analyze large volumes of data in real-time.  Processed and analyzed large volumes of data in real time for pattern matching and predictive modeling.  Developed reports and dashboards in Splunk using a machine learning toolkit to detect log clustering models.  Optimize Kafka to handle massive volumes of logs and write Lambda functions to read files from S3 and compare missing records from a database.  Maintained the data pipeline upline while ingesting streaming and transactional data across different primary sources using Spark and Redshift.  Joined various tables using Spark and Python and ran analytics on top of them, and actively participated in various upgrades and troubleshooting activities across the enterprise.  Involved in performance troubleshooting and migration to cloud-based data integration.  Provide insights for debugging system integrations by developing real-time data pipelines.  Create portable data pipelines to provide a standard for Machine Learning.  Working with the client to understand their business needs and translating those needs into actionable reports in Tableau.  Support continuous process automation of data ingestion and pipeline workflow by developing best practice documentation with approaches.  Transform data for building visualizations by determining and documenting the best methods/ways.  Craft new architectural options and analyses around Snowflake Data Warehouse.  Implement test scripts to support test-driven development and continuous integration.  Use Spark for parallel data processing and improved performance using various Spark functions, with SQL performing query execution for big data workloads.  Create documentation guides for modern automated data pipelines using Cloud-based tools.

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    2017 - 2018

    lama insurance agency

    Claims Data Analyst

     Analyzed and interpreted claims data to support decision-making, improve operational efficiency, and enhance customer satisfaction.  Collaborated with various stakeholders within the company to identify trends, uncover insights, and provide data-driven recommendations to optimize the claims process.  Collected, validated, and organized claims data from various sources, ensuring data integrity and accuracy.  Established and maintained data management processes, including storage, retrieval, and archiving.  Developed and maintained reports, dashboards, and visualizations to communicate insights to stakeholders, including management and other departments.  Ensured that all data analysis and reporting activities adhered to relevant regulatory guidelines and company policies.  Maintained a thorough understanding of data privacy regulations and implemented appropriate safeguards to protect sensitive information.

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    2015 - 2017

    new prestige automotive care

    Administrative Officer/ Accountant

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    2013 - 2015

    goodwill finance company

    Supervisor

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    2010 - 2013

    goodwill finance company

    Assistant Supervisor

Experience

60 Skills

Airflow

Amazon Relational Database Service (RDS)

Amazon S3

Amazon Web Services (AWS)

analytics

Ansible

apache

Apache Airflow

Apache Hive

Apache Spark

Application Programming Interfaces (API)

architecture

Automation

AWS Glue

AWS Lambda

Big Data

Business Intelligence (BI)

chef

CI/CD

Configuration Management

Continuous Integration

customer satisfaction

Data Analysis

Data Engineering

Data Integration

Data Management

Data Pipelines

Data Processing

Data Warehouse

Data Warehousing

Debugging

DNS

Docker

Elastic Stack (ELK)

Extract, Transform, Load (ETL)

Grafana

Hadoop

Hive

infra

Infrastructure

Integration

Jenkins

Kafka

Kubernetes

LAMP

Machine Learning (ML)

predictive modeling

Process Automation

Python

Scala

servers

Snowflake

Splunk

SQL

Sqoop

storage

Tableau

test

Troubleshooting

Web

Education

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