SUDHAKAR LEKKALA — Software Engineer

Lead Solutions Architect in the Data Engineering space with over 13 years of industry experience, specializing in Python development, Big Data ecosystems, cloud data engineering, and machine learning model deployment. Proficient in Python, Pandas, NumPy, Plotly, Matplotlib, Seaborn, with strong expertise across AWS, GCP, and Databricks environments. Skilled in connecting to diverse data sources, parsing, managing, analyzing, and visualizing large datasets to generate actionable business insights, and storing processed data within cloud data warehouses. Certified through Udemy in GCP, Power BI, and Data Science, with over 4 years of Big Data experience and 7+ years of multi-cloud experience (AWS, GCP, and Azure). Collaborated closely with web analytics and data science teams to deliver marketing analytics and predictive intelligence solutions for enterprise clients. Key Achievements & Responsibilities Designed, developed, and deployed machine learning models for anomaly detection across Hadoop, GCP, and AWS environments, enabling stakeholders to identify web data anomalies in real time. Built Connected Intelligence models leveraging web data to enhance marketing and operational insights. Created and customized web data reports using Hive, Python, SnowSQL, and Databricks Notebooks. Led the migration of Hive-based reports to Snowflake, improving scalability, performance, and query efficiency. Worked extensively with GCP services (Dataproc, Cloud Storage, API Services, Stackdriver) and AWS services (S3, Lambda, Glue, Athena, SageMaker) for large-scale data processing, transformation, and machine learning deployment. Developed ETL and analytical pipelines in Databricks, integrating Spark, Delta Lake, and Python to enable unified analytics across heterogeneous data sources. Performed log analysis of raw Apache web server data using Dataproc, Databricks, and SnowSQL. Partnered with business stakeholders through weekly meetings to understand requirements, propose solutions, and deliver implementation plans. Built interactive Power BI dashboards for visualizing and monitoring web and marketing analytics data. Machine Learning Expertise Algorithms: Decision Tree, Logistic Regression, Linear Regression, K-Nearest Neighbors, Random Forest, Time Series Forecasting, FBProphet, and Sentiment Analysis (NLP).

Stackforce AI infers this person is a Data Engineering expert specializing in cloud solutions and machine learning for enterprise applications.

Location: Bengaluru, Karnataka, India

Experience: 11 yrs 1 mo