Verified recordFinancial Services

Prachi Singhal

Senior Analyst at American Express

Based in Noida, India

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Seniority

Manager

Department

Finance & Accounting

Location

Noida

Industry

Financial Services

Company size

82K

Contact information

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Email

1 credit

p•••••••@••••••.com

Phone

5 credits

+91 ••• •••• ••••

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Background

About Prachi Singhal

A highly skilled Technocrat with nearly 6 years of combined experience as a Data Analyst and Data Engineer, I specialize in architecting and implementing robust, cost-effective data solutions that directly address an organization's business requirements and improvement areas. My expertise lies in building scalable data platforms, including Data Lakes, Data Warehouses, and Analytics solutions, designed to simplify complex data engineering challenges and promote enterprise-wide data democratization through agile methodologies and efficient ETL processes. I possess a strong track record in Python and Shell scripting for automation, developing custom scripts for batch jobs, interpreting test cases, identifying errors, and generating automated tests to ensure seamless data extraction and loading across all flows. Proficient in designing and developing end-to-end data pipelines, I manage the entire lifecycle from data transformation, ingestion, and processing to loading high volumes of data for various applications, leveraging extensive knowledge in Spark (PySpark). I am adept at receiving and monitoring data from diverse streams, including SQL and Excel, utilizing technologies like Python and PySpark to identify efficiencies, trends, and problem areas. My hands-on experience extends across the Google Cloud Platform (GCP), including BigQuery, GCS Bucket, Cloud Functions, Cloud Dataflow, Pub/Sub, Cloud Shell, GSUTIL, BQ Command Line Utilities, DataProc, and StackDriver. Furthermore, I am an expert in designing, implementing, and maintaining complex data pipelines using Apache Airflow, ensuring efficient and reliable data processing. Ultimately, my focus is on ensuring data consistency, accuracy, and availability within the data lake architecture, thereby facilitating efficient data access and empowering data-driven decision-making for downstream analytics. Let's connect to discuss possible ways of association to pave the way for leveraged organizational outcomes. Please feel free to email me at prachisinghal201@gmail.com or drop me a message on LinkedIn.

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Prachi Singhal Email & Phone Number @ American Express | Kipplo Discover