Manish Bk Email & Phone Number

Phoenix, Arizona, United States

I spearheaded efforts to bolster our data capabilities, developing interactive visualizations with Tableau and streamlining data processing via Azure Data Factory. Advanced SQL, PostgreSQL, and Python automation facilitated seamless migration to Snowflake, revolutionizing decision-making. My role extended to implementing data governance, conducting meticulous profiling, and leveraging BI tools like QlikView and Power BI for actionable insights. Statistical analysis with SAS uncovered trends, driving targeted strategies for customer engagement. With a diverse skill set spanning AWS Redshift to Google Analytics, I've remained committed to translating data insights into strategic value. As I look ahead, I'm excited to continue driving innovation and unlocking new opportunities for organizational growth and success.I've been part of projects that aimed to make our organization better at using data. One thing I did was to create easy-to-understand reports with a tool called Tableau. These reports helped our team see things like which products are popular and how customers are behaving. Another thing I did was help organize our data better using tools like Azure Data Factory and SQL. This way, we could analyze our data more effectively and make smarter decisions based on what we found. I also made sure that our data is reliable and safe to use. This means setting up rules and checks to make sure that the information we have is accurate and that it stays protected from any potential problems. I used different tools to automate tasks and move our data to new systems without any issues.In my work, I've learned a lot about using data to solve problems and make our business better. For example, I've used tools like SAS and Power BI to understand our customers better. This helps us figure out what they like and what they don't, so we can improve our products and services.

Weehawken, New Jersey, United States

With a strong background in data architecture and cloud migration, I have spearheaded projects to transition ETL jobs to the Cloud using AWS Redshift, streamlining processes and enhancing scalability. My expertise extends to crafting detailed summary reports of customer data, leveraging advanced techniques in calculations, trend analysis, and statistical modeling. Additionally, I specialize in developing business logic through semantic layers, ensuring transformation logic visibility and efficiency in AWS Redshift environments.In my career, I've demonstrated proficiency across various BI and analytics tools, including Tableau, QlikView, and Power BI, to deliver actionable insights to stakeholders. Whether it's creating custom visualizations with ggplot2 or configuring data extraction processes with AWS Glue, I consistently strive to communicate findings effectively and drive informed decision-making. My experience also spans machine learning integration into ETL processes, utilizing AWS SageMaker and AWS Glue to deploy models seamlessly.Adept at collaborating with cross-functional teams, I have a proven track record of designing and implementing robust data pipelines and ETL processes. From developing SAS programs for data cleaning to configuring Oracle Real Application Clusters (RAC) for high availability, I bring a holistic approach to data management and analysis. Moreover, my commitment to expanding best practices and standards ensures the successful execution of data migration projects, delivering value and insights to organizations.

Ada, Michigan, United States

With a passion for enhancing data capabilities, I specialize in crafting intuitive visualizations using Tableau and optimizing data workflows through Azure Data Factory. Skilled in strategic analysis with SQL, I extract valuable insights to inform decision-making processes. Prioritizing data integrity and security, I implement robust measures and leverage advanced tools like Python for seamless data migration and automation. I am dedicated to fostering a data-driven culture that drives organizational growth and success. Let's connect to discuss how I can contribute to your data initiatives and propel your organization forward.In my role, I've implemented various data exploration techniques to analyze patterns and select features, primarily using Python SciPy. By delving into data exploration, I've been able to uncover valuable insights that inform decision-making processes and drive business strategies. Additionally, I've developed and deployed R and Shiny applications to showcase machine learning models for business forecasting, providing stakeholders with interactive tools to understand and leverage predictive analytics effectively.A significant aspect of my work has been implementing ETL pipelines in Azure Data Factory to ensure seamless data extraction and transformation processes. By organizing and analyzing data using a combination of R, Excel, and Tableau, I've facilitated informed decision-making and strategic planning. Moreover, I've contributed to choosing suitable approaches, analytical designs, and data management techniques to meet project objectives effectively, ensuring that data-driven insights align with organizational goals and priorities.In my efforts to maintain data accuracy and integrity, I've implemented various measures such as ensuring data quality through transformations using Azure Databricks and implementing concurrency control mechanisms in PostgreSQL.

Chennai, Tamil Nadu, India

In my role, I've orchestrated the development and implementation of efficient data processing workflows, utilizing tools like AWS Glue for ETL processes and AWS Step Functions for pipeline orchestration, ultimately automating and streamlining data processing. Leveraging Python SciPy, I've constructed factor analysis and cluster analysis models to categorize customers effectively. Moreover, I've implemented specialized functionalities using PostgreSQL extensions like PostGIS for spatial data processing, and I've integrated various data sources into QlikView to produce comprehensive dashboards. Additionally, I've contributed to data quality assurance efforts, conducting checks and validations in Hadoop environments, and developed resourceful procedures and data dictionaries for statistical analysis and reporting needs. Providing Tableau and Power BI support, I've ensured end-users' seamless access to visualizations, while also optimizing data storage and reconciliation processes using Excel functions like VLOOKUP and HLOOKUP, and maintaining standardized reporting templates. As part of my role, I've actively utilized diverse data exploration techniques, primarily relying on Python SciPy. Through this process, I've successfully identified significant patterns and selected pertinent features, enabling me to unearth valuable insights critical for driving informed decision-making and shaping effective business strategies. Furthermore, I've taken strides in developing and deploying R and Shiny applications, which serve as powerful platforms for showcasing machine learning models tailored for business forecasting. These applications offer stakeholders interactive tools, fostering a deeper understanding of predictive analytics and empowering them to leverage these insights effectively in their decision-making processes.