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 Data analysis professional prepared to deliver impactful insights and drive business decisions. Adept in data visualization, statistical analysis, and database management, with strong focus on teamwork and adaptability. Known for reliability, analytical thinking, and results-driven approach. Skilled in Python, SQL, and Excel, ensuring robust data solutions and strategic recommendations. 

A Data Analyst with over 5+ years of experience in IT, specializing in Data Analysis, Design, Development, and Maintenance of Business Intelligence solutions. Skilled in MSSQL, Oracle, MySQL, MS Excel (Pivot Tables and Formulas) Snowflake, SQL, ETL job development (SSIS), and BI tools (Tableau). Additionally, with 3 years of internal audit experience, I have a strong background in analyzing financial, operational, and compliance data to support efficient decision-making and ensure regulatory adherence. Adept at transforming complex data into actionable insights, optimizing workflows, and creating detailed documentation for seamless integration across teams.

Data Analyst with over 3+ years of experience in digital marketing analytics, ETL workflows, and automation, optimizing data-driven decision-making. Proficient in SQL, Python, Azure Data Factory, Snowflake, and PySpark, managing 5+ TB of unstructured and structured data and automating data pipelines. Developed interactive dashboards in Tableau, Power BI, and Salesforce, providing real-time insights into ad performance, audience engagement, and campaign optimization. Collaborated with cross-functional teams, implementing data governance strategies and driving a 10% increase in campaign success rates through data-backed insights for media planning and ad spend efficiency.

My expertise includes hands-on experience with Azure Cloud Services, Azure Synapse Analytics, SQL Azure, Azure Data Factory, SQL, SAS, and data management. Experience on migrating on premise databases/files to Azure cloud environment using Azure Data factory. Experience in data bricks using python, spark 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. Good understanding of Spark Architecture including Spark Context/Session, Spark SQL, Data Frames, Spark Streaming, Driver Node, Worker Node, Stages, Executors and Tasks. Orchestrated data integration pipelines in ADF using various Activities like Get Metadata, Lookup, For Each, Wait, Execute Pipeline, Set Variable, Filter, stored procedure, until etc. Experienced in implementing data validations using Pyspark. Experienced in scheduling data bricks notebooks using data bricks jobs. Experienced in implementing audit logs in every notebook. Experienced in implementing the exception handling and logging in every data brick notebook. Experienced in implementing dynamic notebooks using notebook parameters. Developed pyspark code for data cleansing like trimming of columns and duplicate checks. Knowledge on data pipelines and dependencies in Azure Data Factory for efficient data copying between Sources and destination. Strong capabilities in data manipulation, cleansing, profiling, and scrubbing, ensuring data quality and accuracy. Thorough understanding of cloud and big data technologies, including Azure Data Factory, Azure Databricks, Spark Architecture, and Structured Streaming. Experience in various phases of the Software Development Life Cycle (SDLC), including planning, requirement analysis, design, development, testing, implementation, and support. Enhanced tableau reports, showcasing adaptability in visual data representation and reporting. Conducted exploratory data analysis using SQL queries, providing valuable insights for strategic decision-making. Played a pivotal role in the migration process, contributing to mapping efforts and ensuring seamless transitions. Extensive collaboration with Business Partners, Statisticians, and key stakeholders, providing SAS programming for data analysis and reporting. Executed validation and trend checks on generated reports, ensuring data Accuracy and compliance. Reviewed metadata to enhance understanding of database tables, supporting data mapping and analysis efforts. Applied SAS and SQL to pull, filter, and validate data, supporting various ad hoc queries from cross-functional teams. Traveled onsite for report transition purposes, showcasing a commitment to project success. Enabled stakeholders with actionable insights through intuitive performance reporting, responding to business requests effectively. Demonstrated strong skills in Data Analysis, Requirement Analysis, and Data Mapping for diverse business processes. Ran SQL queries for analysis teams, providing essential data for in-depth insights and decision support. Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.

Results-driven SQL, Python, and Power BI Developer with extensive experience in data engineering, ETL development, and business intelligence solutions. Proficient in designing and optimising data pipelines, cloud-based data integration, and interactive reporting solutions. Strong expertise in SQL query optimisation, data modelling, and automation of ETL workflows to enhance efficiency and data accessibility. Adept at working with large-scale databases, Power BI dashboard development, and Python scripting for data transformation and analysis. Experienced in cloud-based data platforms such as AWS, Azure, and Databricks, with a focus on developing scalable, high-performance data solutions.

Rajesh A Niranjan

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