Kuruba Kiran Kumar
Data Engineer @Impact Analytics |ex Smart Energy Water | Query Optimization ,PySpark, ETL Pipelines, Python, Azure, ADF, DataBricks, DBT, Fabric, SQL, Power BI |Masters in Machine Learning and AI from Woolf University.
- Role
- Sql Developer at Impact Analytics
- Location
- Lucknow, UP, IN
- LinkedIn followers
- 500 followers
About Kuruba Kiran Kumar
As a Product Analyst at Smart Energy Water, I work with the design team, the product lead, and the developers to deliver innovative and user-friendly products for the energy and water sector. As a highly motivated individual with a strong affinity for data analysis, my keen interest lies in pursuing a career as a Data Analyst at a progressive company. Equipped with proficiency in Advanced Excel, Advanced SQL, Python, and Tableau, I am eager to utilize these versatile tools to uncover hidden patterns and valuable insights within extensive datasets. My fascination with data-driven decision-making has driven me to constantly seek opportunities to apply my skills to real-world challenges. I enjoy collaborating with different stakeholders and contributing to the success of our products.I have a Bachelor of Technology degree in Computer Science and Engineering from BML Munjal University, The prospect of working with diverse data sets, performing complex queries using Advanced SQL, and employing Python for data manipulation,data analytics, problem solving and impact analysis excites me, as I believe in the power of data to drive meaningful business outcomes. By joining a dynamic team as a Data Analyst, I am committed to contributing my analytical acumen and passion for data exploration to help the organization make informed decisions, optimize processes, and achieve data-driven success.My advanced skills in Python enable me to efficiently manipulate data, perform statistical analysis, and develop predictive models.My comprehensive understanding of Excel\'s advanced functions, such as pivot tables, macros, and data validation, enables me to streamline workflows and optimize data manipulation processes. My ability to translate data-driven findings into strategic recommendations has consistently contributed to revenue growth and operational efficiency improvements.Through my analytical acumen, I have empowered organizations to make informed choices, optimize processes, and uncover hidden opportunities.In addition to my technical skills, I bring strong problem-solving abilities and a keen attention to detail. My experience in exploratory data analysis and hypothesis testing has enabled me to identify trends, correlations, and outliers that might otherwise go unnoticed. My comprehensive skill set spans data manipulation, statistical analysis, visualization, and reporting, enabling me to support evidence-based decision-making.
Experience
Sql Developer
Jan 2024 — Present · Bengaluru, IN
Designed, developed, and optimized data solutions to support analytics-driven strategies across diverse client projects.Wrote high-performance SQL queries to extract, transform, and analyze large-scale datasets, leveraging advanced techniques like partitioning, clustering, indexing, and temp tables, resulting in a 40% reduction in query execution time on Google BigQuery.Built and maintained stored procedures in PostgreSQL, ensuring synchronized data operations and consistency across business-critical systems.Utilized SQL features such as window functions, CTEs, aggregations, and conditional logic to process datasets over 1M+ records, contributing to a 30% boost in decision-making efficiency.Contributed to the design and maintenance of end-to-end ETL pipelines using Apache Airflow, PySpark, and Google Cloud Platform to support scalable, automated data workflows.Engineered data pipelines to extract data from client systems, perform cleansing and transformation using SQL and PySpark, and load into BigQuery, enabling a centralized and unified data view.Managed data pipelines with robust scheduling, monitoring, and failure recovery logic, incorporating automation and data integrity checks through Airflow DAGs.Used PySpark’s distributed processing to handle 100M+ record datasets, optimizing joins, aggregations, and schema normalization.Achieved a 60% improvement in data availability for downstream reporting through efficient pipeline orchestration.Collaborated with analysts, data scientists, and business stakeholders to convert functional requirements into scalable data solutions.Monitored and managed pipeline health and performance through Google Cloud Console, ensuring cost efficiency and SLA compliance.Demonstrated adaptability and ownership in a fast-paced, client-facing environment, consistently delivering impactful data solutions aligned with business needs.
Education
City Montessori School
Senior Secondary School
2004 — 2017
BML Munjal University
Bachelor of Technology - BTech
2017 — 2021
City Montessori School
Bachelor of Technology - BTech
2017 — 2021
City Montessori School
Bachelor of Technology - BTech
2017 — 2021
Scaler
Master of Science in Computer Science: Artificial Intelligence and Machine Learning
2023 — 2025
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