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Harika K

Data Analyst

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Intro
Dallas, United States
Data Engineer at Fidelity Investments
Banking
linkedin.com/in/harika-k-434627262
Joined May 10, 2023

Skills

Languages

English
-
Fluent
About
As a data analyst, I have the ability to analyze, interpret, and visualize data using statistical techniques and programming languages such as Python, R, and SQL. I can assist in data cleaning, data transformation, and data modeling to identify patterns and trends, make predictions, and provide insights to drive business decisions. My strong sides include my ability to understand natural language and provide responses that are relevant and useful to the user. I can also learn from the data and adapt to new situations, making me a valuable tool for data analysis and decision-making. In addition, I have a vast amount of knowledge across various domains, including science, technology, politics, and culture, which allows me to provide insights and analysis on a wide range of topics. My capabilities can be leveraged to conduct sentiment analysis, customer segmentation, market research, and much more. Overall, my work interest as a data analyst is to help individuals and businesses make informed decisions based on data-driven insights.
Experience
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Fidelity Investments
Jun 2021 – Present
Texas
Data Engineer
Created Pipelines in ADF using Linked Services/Datasets/Pipeline/ to Extract, Transform and load data from different sources like Azure SQL, Blob storage, Azure SQL Data warehouse, write-back tool and backwards. • Strong experience of leading multiple Azure Big Data and Data transformation implementations in Banking and Financial Services, High Tech and Utilities industries. • Implemented large Lambda architectures using Azure Data platform capabilities like Azure Data Lake, Azure Data Factory, HDInsight, Azure SQL Server, Azure ML and Power BI. • used ATscale to analyze customer data and develop insights to drive business decisions. I was responsible for creating dashboards and reports using ATscale's advanced analytics tools and presenting my findings to stakeholders across the organization. • Designed SSIS Packages to transfer data from flat files to SQL Server using Business Intelligence Development Studio. • Extensively used SSIS transformations such as Lookup, Derived column, Data conversion, Aggregate, Conditional split, SQL task, Script task and Send Mail t ask etc • Designed end to end scalable architecture to solve business problems using various Azure Components like HDInsight, Data Factory, Data Lake, Storage and Machine Learning Studio. • Developed JSON Scripts for deploying the Pipeline in Azure Data Factory (ADF) that process the data using the SQL Activity. • Developed Spark applications using Scala and Spark-SQL for data extraction, transformation, and aggregation from multiple file formats for analysing & transforming the data to uncover insights into the customer usage patterns. • Designing and implementing scalable data models in Snowflake based on business requirements.